Uploading /ephemeral/hossein/output/prog-y-tiny-llama-CDL-18
Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +1 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- runs/progressive-yoco-Tinyllama-Layer18/events.out.tfevents.1732528296.creative-turing-2.1296296.0 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
- train_results.json +8 -0
- trainer_log.jsonl +151 -0
- trainer_state.json +1092 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
README.md
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: other
|
4 |
+
base_model: TinyLlama/TinyLlama_v1.1
|
5 |
+
tags:
|
6 |
+
- llama-factory
|
7 |
+
- full
|
8 |
+
- generated_from_trainer
|
9 |
+
model-index:
|
10 |
+
- name: progressive-yoco-tiny-llama-CDL-18
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# progressive-yoco-tiny-llama-CDL-18
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [/ephemeral/hossein/output/progressive-yoco-tiny-llama-CDL-19](https://huggingface.co//ephemeral/hossein/output/progressive-yoco-tiny-llama-CDL-19) on the reformatted_ultrachat_200k, the reformatted_MathInstruct and the small_slim_pajama datasets.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 2e-05
|
39 |
+
- train_batch_size: 42
|
40 |
+
- eval_batch_size: 1
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 8
|
44 |
+
- gradient_accumulation_steps: 6
|
45 |
+
- total_train_batch_size: 2016
|
46 |
+
- total_eval_batch_size: 8
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- lr_scheduler_warmup_ratio: 0.005
|
50 |
+
- training_steps: 150
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
|
55 |
+
|
56 |
+
### Framework versions
|
57 |
+
|
58 |
+
- Transformers 4.45.2
|
59 |
+
- Pytorch 2.5.1+cu124
|
60 |
+
- Datasets 3.1.0
|
61 |
+
- Tokenizers 0.20.3
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.19745502413339183,
|
3 |
+
"total_flos": 349677715193856.0,
|
4 |
+
"train_loss": 1.9757762233416238,
|
5 |
+
"train_runtime": 5203.4288,
|
6 |
+
"train_samples_per_second": 58.116,
|
7 |
+
"train_steps_per_second": 0.029
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"_name_or_path": "TinyLlama/TinyLlama_v1.1", "architectures": ["ProgressiveYocoLlamaForCausalLM"], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 1, "crossDecoder_start_idx": 5, "eos_token_id": 2, "hidden_act": "silu", "hidden_size": 2048, "initializer_range": 0.02, "intermediate_size": 5632, "max_position_embeddings": 2048, "mlp_bias": false, "model_type": "progressive_yoco_llama", "num_attention_heads": 32, "num_hidden_layers": 22, "num_key_value_heads": 4, "pretraining_tp": 1, "rms_norm_eps": 1e-05, "rope_scaling": null, "rope_theta": 10000.0, "tie_word_embeddings": false, "torch_dtype": "bfloat16", "transformers_version": "4.45.2", "use_cache": false, "vocab_size": 32000}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.45.2"
|
7 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:586f3d71b5325f2aed59f43babec056121bd28ed4ad86992df3d0b396887941e
|
3 |
+
size 2191734544
|
runs/progressive-yoco-Tinyllama-Layer18/events.out.tfevents.1732528296.creative-turing-2.1296296.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:79394b4fd2749475a67a2dff1cf23887b56777c1ffa829dac031b04646fd843b
|
3 |
+
size 36911
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": false,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"split_special_tokens": false,
|
41 |
+
"tokenizer_class": "LlamaTokenizer",
|
42 |
+
"unk_token": "<unk>",
|
43 |
+
"use_default_system_prompt": false
|
44 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.19745502413339183,
|
3 |
+
"total_flos": 349677715193856.0,
|
4 |
+
"train_loss": 1.9757762233416238,
|
5 |
+
"train_runtime": 5203.4288,
|
6 |
+
"train_samples_per_second": 58.116,
|
7 |
+
"train_steps_per_second": 0.029
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,151 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 150, "loss": 1.9261, "lr": 2e-05, "epoch": 0.0013163668275559457, "percentage": 0.67, "elapsed_time": "0:00:37", "remaining_time": "1:34:02"}
|
2 |
+
{"current_steps": 2, "total_steps": 150, "loss": 1.9006, "lr": 1.999777729859618e-05, "epoch": 0.0026327336551118913, "percentage": 1.33, "elapsed_time": "0:01:12", "remaining_time": "1:28:50"}
|
3 |
+
{"current_steps": 3, "total_steps": 150, "loss": 2.1757, "lr": 1.9991110182465032e-05, "epoch": 0.003949100482667837, "percentage": 2.0, "elapsed_time": "0:01:46", "remaining_time": "1:26:53"}
|
4 |
+
{"current_steps": 4, "total_steps": 150, "loss": 2.1193, "lr": 1.9980001615408228e-05, "epoch": 0.005265467310223783, "percentage": 2.67, "elapsed_time": "0:02:20", "remaining_time": "1:25:41"}
|
5 |
+
{"current_steps": 5, "total_steps": 150, "loss": 2.0406, "lr": 1.9964456535631287e-05, "epoch": 0.006581834137779728, "percentage": 3.33, "elapsed_time": "0:02:55", "remaining_time": "1:24:44"}
|
6 |
+
{"current_steps": 6, "total_steps": 150, "loss": 2.0089, "lr": 1.9944481853548335e-05, "epoch": 0.007898200965335674, "percentage": 4.0, "elapsed_time": "0:03:29", "remaining_time": "1:23:55"}
|
7 |
+
{"current_steps": 7, "total_steps": 150, "loss": 1.9896, "lr": 1.9920086448710162e-05, "epoch": 0.009214567792891619, "percentage": 4.67, "elapsed_time": "0:04:04", "remaining_time": "1:23:10"}
|
8 |
+
{"current_steps": 8, "total_steps": 150, "loss": 1.9538, "lr": 1.9891281165856876e-05, "epoch": 0.010530934620447565, "percentage": 5.33, "elapsed_time": "0:04:38", "remaining_time": "1:22:28"}
|
9 |
+
{"current_steps": 9, "total_steps": 150, "loss": 1.9822, "lr": 1.9858078810097004e-05, "epoch": 0.01184730144800351, "percentage": 6.0, "elapsed_time": "0:05:13", "remaining_time": "1:21:48"}
|
10 |
+
{"current_steps": 10, "total_steps": 150, "loss": 1.9768, "lr": 1.98204941412151e-05, "epoch": 0.013163668275559455, "percentage": 6.67, "elapsed_time": "0:05:47", "remaining_time": "1:21:09"}
|
11 |
+
{"current_steps": 11, "total_steps": 150, "loss": 1.9758, "lr": 1.9778543867110428e-05, "epoch": 0.014480035103115402, "percentage": 7.33, "elapsed_time": "0:06:22", "remaining_time": "1:20:30"}
|
12 |
+
{"current_steps": 12, "total_steps": 150, "loss": 1.9786, "lr": 1.9732246636369605e-05, "epoch": 0.015796401930671347, "percentage": 8.0, "elapsed_time": "0:06:56", "remaining_time": "1:19:53"}
|
13 |
+
{"current_steps": 13, "total_steps": 150, "loss": 1.98, "lr": 1.968162302997659e-05, "epoch": 0.017112768758227294, "percentage": 8.67, "elapsed_time": "0:07:31", "remaining_time": "1:19:16"}
|
14 |
+
{"current_steps": 14, "total_steps": 150, "loss": 1.9639, "lr": 1.962669555216358e-05, "epoch": 0.018429135585783237, "percentage": 9.33, "elapsed_time": "0:08:05", "remaining_time": "1:18:39"}
|
15 |
+
{"current_steps": 15, "total_steps": 150, "loss": 1.9808, "lr": 1.9567488620406984e-05, "epoch": 0.019745502413339184, "percentage": 10.0, "elapsed_time": "0:08:40", "remaining_time": "1:18:03"}
|
16 |
+
{"current_steps": 16, "total_steps": 150, "loss": 1.9648, "lr": 1.9504028554572865e-05, "epoch": 0.02106186924089513, "percentage": 10.67, "elapsed_time": "0:09:14", "remaining_time": "1:17:26"}
|
17 |
+
{"current_steps": 17, "total_steps": 150, "loss": 1.9743, "lr": 1.943634356521671e-05, "epoch": 0.022378236068451074, "percentage": 11.33, "elapsed_time": "0:09:49", "remaining_time": "1:16:50"}
|
18 |
+
{"current_steps": 18, "total_steps": 150, "loss": 1.9396, "lr": 1.9364463741042694e-05, "epoch": 0.02369460289600702, "percentage": 12.0, "elapsed_time": "0:10:23", "remaining_time": "1:16:14"}
|
19 |
+
{"current_steps": 19, "total_steps": 150, "loss": 1.9493, "lr": 1.928842103552803e-05, "epoch": 0.025010969723562967, "percentage": 12.67, "elapsed_time": "0:10:58", "remaining_time": "1:15:39"}
|
20 |
+
{"current_steps": 20, "total_steps": 150, "loss": 1.9657, "lr": 1.920824925271838e-05, "epoch": 0.02632733655111891, "percentage": 13.33, "elapsed_time": "0:11:32", "remaining_time": "1:15:03"}
|
21 |
+
{"current_steps": 21, "total_steps": 150, "loss": 1.9447, "lr": 1.9123984032200586e-05, "epoch": 0.027643703378674857, "percentage": 14.0, "elapsed_time": "0:12:07", "remaining_time": "1:14:28"}
|
22 |
+
{"current_steps": 22, "total_steps": 150, "loss": 1.9623, "lr": 1.9035662833259433e-05, "epoch": 0.028960070206230804, "percentage": 14.67, "elapsed_time": "0:12:41", "remaining_time": "1:13:52"}
|
23 |
+
{"current_steps": 23, "total_steps": 150, "loss": 1.9615, "lr": 1.8943324918225495e-05, "epoch": 0.030276437033786747, "percentage": 15.33, "elapsed_time": "0:13:16", "remaining_time": "1:13:17"}
|
24 |
+
{"current_steps": 24, "total_steps": 150, "loss": 1.9477, "lr": 1.8847011335021447e-05, "epoch": 0.031592803861342694, "percentage": 16.0, "elapsed_time": "0:13:50", "remaining_time": "1:12:42"}
|
25 |
+
{"current_steps": 25, "total_steps": 150, "loss": 1.9501, "lr": 1.874676489891461e-05, "epoch": 0.03290917068889864, "percentage": 16.67, "elapsed_time": "0:14:25", "remaining_time": "1:12:07"}
|
26 |
+
{"current_steps": 26, "total_steps": 150, "loss": 1.95, "lr": 1.8642630173483832e-05, "epoch": 0.03422553751645459, "percentage": 17.33, "elapsed_time": "0:14:59", "remaining_time": "1:11:32"}
|
27 |
+
{"current_steps": 27, "total_steps": 150, "loss": 1.954, "lr": 1.85346534508092e-05, "epoch": 0.03554190434401053, "percentage": 18.0, "elapsed_time": "0:15:34", "remaining_time": "1:10:57"}
|
28 |
+
{"current_steps": 28, "total_steps": 150, "loss": 1.9723, "lr": 1.8422882730893323e-05, "epoch": 0.036858271171566474, "percentage": 18.67, "elapsed_time": "0:16:08", "remaining_time": "1:10:21"}
|
29 |
+
{"current_steps": 29, "total_steps": 150, "loss": 1.9689, "lr": 1.8307367700323412e-05, "epoch": 0.03817463799912242, "percentage": 19.33, "elapsed_time": "0:16:43", "remaining_time": "1:09:46"}
|
30 |
+
{"current_steps": 30, "total_steps": 150, "loss": 1.9383, "lr": 1.8188159710183595e-05, "epoch": 0.03949100482667837, "percentage": 20.0, "elapsed_time": "0:17:17", "remaining_time": "1:09:11"}
|
31 |
+
{"current_steps": 31, "total_steps": 150, "loss": 1.9839, "lr": 1.8065311753227272e-05, "epoch": 0.040807371654234315, "percentage": 20.67, "elapsed_time": "0:17:52", "remaining_time": "1:08:36"}
|
32 |
+
{"current_steps": 32, "total_steps": 150, "loss": 1.9751, "lr": 1.7938878440319722e-05, "epoch": 0.04212373848179026, "percentage": 21.33, "elapsed_time": "0:18:26", "remaining_time": "1:08:02"}
|
33 |
+
{"current_steps": 33, "total_steps": 150, "loss": 1.9782, "lr": 1.7808915976161364e-05, "epoch": 0.0434401053093462, "percentage": 22.0, "elapsed_time": "0:19:01", "remaining_time": "1:07:27"}
|
34 |
+
{"current_steps": 34, "total_steps": 150, "loss": 1.9586, "lr": 1.7675482134302503e-05, "epoch": 0.04475647213690215, "percentage": 22.67, "elapsed_time": "0:19:35", "remaining_time": "1:06:52"}
|
35 |
+
{"current_steps": 35, "total_steps": 150, "loss": 1.9623, "lr": 1.753863623146066e-05, "epoch": 0.046072838964458095, "percentage": 23.33, "elapsed_time": "0:20:10", "remaining_time": "1:06:17"}
|
36 |
+
{"current_steps": 36, "total_steps": 150, "loss": 1.9485, "lr": 1.7398439101151908e-05, "epoch": 0.04738920579201404, "percentage": 24.0, "elapsed_time": "0:20:45", "remaining_time": "1:05:42"}
|
37 |
+
{"current_steps": 37, "total_steps": 150, "loss": 1.9528, "lr": 1.7254953066647915e-05, "epoch": 0.04870557261956999, "percentage": 24.67, "elapsed_time": "0:21:19", "remaining_time": "1:05:07"}
|
38 |
+
{"current_steps": 38, "total_steps": 150, "loss": 1.9858, "lr": 1.710824191327075e-05, "epoch": 0.050021939447125935, "percentage": 25.33, "elapsed_time": "0:21:54", "remaining_time": "1:04:32"}
|
39 |
+
{"current_steps": 39, "total_steps": 150, "loss": 1.9609, "lr": 1.695837086003772e-05, "epoch": 0.051338306274681875, "percentage": 26.0, "elapsed_time": "0:22:28", "remaining_time": "1:03:58"}
|
40 |
+
{"current_steps": 40, "total_steps": 150, "loss": 1.959, "lr": 1.680540653066891e-05, "epoch": 0.05265467310223782, "percentage": 26.67, "elapsed_time": "0:23:02", "remaining_time": "1:03:23"}
|
41 |
+
{"current_steps": 41, "total_steps": 150, "loss": 1.9596, "lr": 1.6649416923970248e-05, "epoch": 0.05397103992979377, "percentage": 27.33, "elapsed_time": "0:23:37", "remaining_time": "1:02:48"}
|
42 |
+
{"current_steps": 42, "total_steps": 150, "loss": 1.9514, "lr": 1.649047138360529e-05, "epoch": 0.055287406757349715, "percentage": 28.0, "elapsed_time": "0:24:11", "remaining_time": "1:02:13"}
|
43 |
+
{"current_steps": 43, "total_steps": 150, "loss": 1.9523, "lr": 1.632864056726917e-05, "epoch": 0.05660377358490566, "percentage": 28.67, "elapsed_time": "0:24:46", "remaining_time": "1:01:38"}
|
44 |
+
{"current_steps": 44, "total_steps": 150, "loss": 1.9782, "lr": 1.6163996415278423e-05, "epoch": 0.05792014041246161, "percentage": 29.33, "elapsed_time": "0:25:20", "remaining_time": "1:01:04"}
|
45 |
+
{"current_steps": 45, "total_steps": 150, "loss": 1.9582, "lr": 1.5996612118590604e-05, "epoch": 0.05923650724001755, "percentage": 30.0, "elapsed_time": "0:25:55", "remaining_time": "1:00:29"}
|
46 |
+
{"current_steps": 46, "total_steps": 150, "loss": 1.9775, "lr": 1.5826562086267956e-05, "epoch": 0.060552874067573495, "percentage": 30.67, "elapsed_time": "0:26:29", "remaining_time": "0:59:54"}
|
47 |
+
{"current_steps": 47, "total_steps": 150, "loss": 1.9651, "lr": 1.565392191239959e-05, "epoch": 0.06186924089512944, "percentage": 31.33, "elapsed_time": "0:27:04", "remaining_time": "0:59:20"}
|
48 |
+
{"current_steps": 48, "total_steps": 150, "loss": 1.955, "lr": 1.5478768342496872e-05, "epoch": 0.06318560772268539, "percentage": 32.0, "elapsed_time": "0:27:38", "remaining_time": "0:58:45"}
|
49 |
+
{"current_steps": 49, "total_steps": 150, "loss": 1.9691, "lr": 1.5301179239376936e-05, "epoch": 0.06450197455024133, "percentage": 32.67, "elapsed_time": "0:28:13", "remaining_time": "0:58:10"}
|
50 |
+
{"current_steps": 50, "total_steps": 150, "loss": 1.9485, "lr": 1.512123354854955e-05, "epoch": 0.06581834137779728, "percentage": 33.33, "elapsed_time": "0:28:47", "remaining_time": "0:57:35"}
|
51 |
+
{"current_steps": 51, "total_steps": 150, "loss": 1.9493, "lr": 1.4939011263122635e-05, "epoch": 0.06713470820535322, "percentage": 34.0, "elapsed_time": "0:29:29", "remaining_time": "0:57:14"}
|
52 |
+
{"current_steps": 52, "total_steps": 150, "loss": 1.9584, "lr": 1.4754593388242117e-05, "epoch": 0.06845107503290918, "percentage": 34.67, "elapsed_time": "0:30:03", "remaining_time": "0:56:39"}
|
53 |
+
{"current_steps": 53, "total_steps": 150, "loss": 1.9494, "lr": 1.4568061905081874e-05, "epoch": 0.06976744186046512, "percentage": 35.33, "elapsed_time": "0:30:38", "remaining_time": "0:56:04"}
|
54 |
+
{"current_steps": 54, "total_steps": 150, "loss": 1.9619, "lr": 1.4379499734399797e-05, "epoch": 0.07108380868802106, "percentage": 36.0, "elapsed_time": "0:31:12", "remaining_time": "0:55:29"}
|
55 |
+
{"current_steps": 55, "total_steps": 150, "loss": 1.9585, "lr": 1.4188990699676186e-05, "epoch": 0.07240017551557701, "percentage": 36.67, "elapsed_time": "0:31:47", "remaining_time": "0:54:54"}
|
56 |
+
{"current_steps": 56, "total_steps": 150, "loss": 1.9713, "lr": 1.3996619489850822e-05, "epoch": 0.07371654234313295, "percentage": 37.33, "elapsed_time": "0:32:21", "remaining_time": "0:54:19"}
|
57 |
+
{"current_steps": 57, "total_steps": 150, "loss": 1.954, "lr": 1.3802471621675337e-05, "epoch": 0.0750329091706889, "percentage": 38.0, "elapsed_time": "0:32:56", "remaining_time": "0:53:44"}
|
58 |
+
{"current_steps": 58, "total_steps": 150, "loss": 1.9769, "lr": 1.3606633401697557e-05, "epoch": 0.07634927599824484, "percentage": 38.67, "elapsed_time": "0:33:30", "remaining_time": "0:53:09"}
|
59 |
+
{"current_steps": 59, "total_steps": 150, "loss": 1.957, "lr": 1.340919188789477e-05, "epoch": 0.0776656428258008, "percentage": 39.33, "elapsed_time": "0:34:05", "remaining_time": "0:52:34"}
|
60 |
+
{"current_steps": 60, "total_steps": 150, "loss": 1.9752, "lr": 1.3210234850972966e-05, "epoch": 0.07898200965335674, "percentage": 40.0, "elapsed_time": "0:34:39", "remaining_time": "0:51:59"}
|
61 |
+
{"current_steps": 61, "total_steps": 150, "loss": 1.9747, "lr": 1.300985073534919e-05, "epoch": 0.08029837648091268, "percentage": 40.67, "elapsed_time": "0:35:14", "remaining_time": "0:51:24"}
|
62 |
+
{"current_steps": 62, "total_steps": 150, "loss": 1.9544, "lr": 1.280812861983446e-05, "epoch": 0.08161474330846863, "percentage": 41.33, "elapsed_time": "0:35:48", "remaining_time": "0:50:50"}
|
63 |
+
{"current_steps": 63, "total_steps": 150, "loss": 1.9594, "lr": 1.2605158178034656e-05, "epoch": 0.08293111013602457, "percentage": 42.0, "elapsed_time": "0:36:23", "remaining_time": "0:50:15"}
|
64 |
+
{"current_steps": 64, "total_steps": 150, "loss": 1.9369, "lr": 1.2401029638486952e-05, "epoch": 0.08424747696358052, "percentage": 42.67, "elapsed_time": "0:36:57", "remaining_time": "0:49:40"}
|
65 |
+
{"current_steps": 65, "total_steps": 150, "loss": 1.9738, "lr": 1.219583374454963e-05, "epoch": 0.08556384379113646, "percentage": 43.33, "elapsed_time": "0:37:32", "remaining_time": "0:49:05"}
|
66 |
+
{"current_steps": 66, "total_steps": 150, "loss": 1.9912, "lr": 1.1989661714063e-05, "epoch": 0.0868802106186924, "percentage": 44.0, "elapsed_time": "0:38:07", "remaining_time": "0:48:30"}
|
67 |
+
{"current_steps": 67, "total_steps": 150, "loss": 1.9784, "lr": 1.1782605198799371e-05, "epoch": 0.08819657744624836, "percentage": 44.67, "elapsed_time": "0:38:41", "remaining_time": "0:47:55"}
|
68 |
+
{"current_steps": 68, "total_steps": 150, "loss": 1.951, "lr": 1.157475624372018e-05, "epoch": 0.0895129442738043, "percentage": 45.33, "elapsed_time": "0:39:16", "remaining_time": "0:47:21"}
|
69 |
+
{"current_steps": 69, "total_steps": 150, "loss": 1.9619, "lr": 1.1366207246058269e-05, "epoch": 0.09082931110136025, "percentage": 46.0, "elapsed_time": "0:39:50", "remaining_time": "0:46:46"}
|
70 |
+
{"current_steps": 70, "total_steps": 150, "loss": 1.9736, "lr": 1.1157050914243614e-05, "epoch": 0.09214567792891619, "percentage": 46.67, "elapsed_time": "0:40:25", "remaining_time": "0:46:11"}
|
71 |
+
{"current_steps": 71, "total_steps": 150, "loss": 1.969, "lr": 1.0947380226690686e-05, "epoch": 0.09346204475647214, "percentage": 47.33, "elapsed_time": "0:40:59", "remaining_time": "0:45:36"}
|
72 |
+
{"current_steps": 72, "total_steps": 150, "loss": 1.9592, "lr": 1.0737288390465792e-05, "epoch": 0.09477841158402808, "percentage": 48.0, "elapsed_time": "0:41:34", "remaining_time": "0:45:02"}
|
73 |
+
{"current_steps": 73, "total_steps": 150, "loss": 1.9824, "lr": 1.0526868799852797e-05, "epoch": 0.09609477841158402, "percentage": 48.67, "elapsed_time": "0:42:08", "remaining_time": "0:44:27"}
|
74 |
+
{"current_steps": 74, "total_steps": 150, "loss": 1.9754, "lr": 1.031621499483559e-05, "epoch": 0.09741114523913998, "percentage": 49.33, "elapsed_time": "0:42:43", "remaining_time": "0:43:52"}
|
75 |
+
{"current_steps": 75, "total_steps": 150, "loss": 1.9659, "lr": 1.0105420619515798e-05, "epoch": 0.09872751206669592, "percentage": 50.0, "elapsed_time": "0:43:17", "remaining_time": "0:43:17"}
|
76 |
+
{"current_steps": 76, "total_steps": 150, "loss": 1.9821, "lr": 9.894579380484206e-06, "epoch": 0.10004387889425187, "percentage": 50.67, "elapsed_time": "0:43:52", "remaining_time": "0:42:42"}
|
77 |
+
{"current_steps": 77, "total_steps": 150, "loss": 1.9871, "lr": 9.683785005164412e-06, "epoch": 0.10136024572180781, "percentage": 51.33, "elapsed_time": "0:44:26", "remaining_time": "0:42:08"}
|
78 |
+
{"current_steps": 78, "total_steps": 150, "loss": 1.9936, "lr": 9.473131200147205e-06, "epoch": 0.10267661254936375, "percentage": 52.0, "elapsed_time": "0:45:01", "remaining_time": "0:41:33"}
|
79 |
+
{"current_steps": 79, "total_steps": 150, "loss": 1.9791, "lr": 9.262711609534211e-06, "epoch": 0.1039929793769197, "percentage": 52.67, "elapsed_time": "0:45:35", "remaining_time": "0:40:58"}
|
80 |
+
{"current_steps": 80, "total_steps": 150, "loss": 1.9704, "lr": 9.052619773309318e-06, "epoch": 0.10530934620447564, "percentage": 53.33, "elapsed_time": "0:46:10", "remaining_time": "0:40:23"}
|
81 |
+
{"current_steps": 81, "total_steps": 150, "loss": 1.9658, "lr": 8.842949085756389e-06, "epoch": 0.1066257130320316, "percentage": 54.0, "elapsed_time": "0:46:44", "remaining_time": "0:39:49"}
|
82 |
+
{"current_steps": 82, "total_steps": 150, "loss": 1.9759, "lr": 8.633792753941733e-06, "epoch": 0.10794207985958754, "percentage": 54.67, "elapsed_time": "0:47:19", "remaining_time": "0:39:14"}
|
83 |
+
{"current_steps": 83, "total_steps": 150, "loss": 1.9546, "lr": 8.425243756279824e-06, "epoch": 0.10925844668714349, "percentage": 55.33, "elapsed_time": "0:47:53", "remaining_time": "0:38:39"}
|
84 |
+
{"current_steps": 84, "total_steps": 150, "loss": 1.9762, "lr": 8.217394801200632e-06, "epoch": 0.11057481351469943, "percentage": 56.0, "elapsed_time": "0:48:28", "remaining_time": "0:38:05"}
|
85 |
+
{"current_steps": 85, "total_steps": 150, "loss": 1.9645, "lr": 8.010338285937006e-06, "epoch": 0.11189118034225537, "percentage": 56.67, "elapsed_time": "0:49:02", "remaining_time": "0:37:30"}
|
86 |
+
{"current_steps": 86, "total_steps": 150, "loss": 1.9702, "lr": 7.804166255450372e-06, "epoch": 0.11320754716981132, "percentage": 57.33, "elapsed_time": "0:49:37", "remaining_time": "0:36:55"}
|
87 |
+
{"current_steps": 87, "total_steps": 150, "loss": 1.9738, "lr": 7.598970361513052e-06, "epoch": 0.11452391399736726, "percentage": 58.0, "elapsed_time": "0:50:11", "remaining_time": "0:36:21"}
|
88 |
+
{"current_steps": 88, "total_steps": 150, "loss": 1.9517, "lr": 7.394841821965345e-06, "epoch": 0.11584028082492322, "percentage": 58.67, "elapsed_time": "0:50:46", "remaining_time": "0:35:46"}
|
89 |
+
{"current_steps": 89, "total_steps": 150, "loss": 1.976, "lr": 7.191871380165538e-06, "epoch": 0.11715664765247916, "percentage": 59.33, "elapsed_time": "0:51:20", "remaining_time": "0:35:11"}
|
90 |
+
{"current_steps": 90, "total_steps": 150, "loss": 1.9679, "lr": 6.990149264650814e-06, "epoch": 0.1184730144800351, "percentage": 60.0, "elapsed_time": "0:51:55", "remaining_time": "0:34:36"}
|
91 |
+
{"current_steps": 91, "total_steps": 150, "loss": 1.9744, "lr": 6.789765149027039e-06, "epoch": 0.11978938130759105, "percentage": 60.67, "elapsed_time": "0:52:29", "remaining_time": "0:34:02"}
|
92 |
+
{"current_steps": 92, "total_steps": 150, "loss": 1.991, "lr": 6.590808112105232e-06, "epoch": 0.12110574813514699, "percentage": 61.33, "elapsed_time": "0:53:04", "remaining_time": "0:33:27"}
|
93 |
+
{"current_steps": 93, "total_steps": 150, "loss": 1.9758, "lr": 6.3933665983024465e-06, "epoch": 0.12242211496270294, "percentage": 62.0, "elapsed_time": "0:53:38", "remaining_time": "0:32:52"}
|
94 |
+
{"current_steps": 94, "total_steps": 150, "loss": 1.9532, "lr": 6.197528378324664e-06, "epoch": 0.12373848179025888, "percentage": 62.67, "elapsed_time": "0:54:13", "remaining_time": "0:32:18"}
|
95 |
+
{"current_steps": 95, "total_steps": 150, "loss": 1.9808, "lr": 6.003380510149179e-06, "epoch": 0.12505484861781482, "percentage": 63.33, "elapsed_time": "0:54:47", "remaining_time": "0:31:43"}
|
96 |
+
{"current_steps": 96, "total_steps": 150, "loss": 2.0037, "lr": 5.8110093003238175e-06, "epoch": 0.12637121544537078, "percentage": 64.0, "elapsed_time": "0:55:22", "remaining_time": "0:31:08"}
|
97 |
+
{"current_steps": 97, "total_steps": 150, "loss": 1.9765, "lr": 5.620500265600206e-06, "epoch": 0.12768758227292673, "percentage": 64.67, "elapsed_time": "0:55:56", "remaining_time": "0:30:34"}
|
98 |
+
{"current_steps": 98, "total_steps": 150, "loss": 1.9872, "lr": 5.431938094918132e-06, "epoch": 0.12900394910048266, "percentage": 65.33, "elapsed_time": "0:56:31", "remaining_time": "0:29:59"}
|
99 |
+
{"current_steps": 99, "total_steps": 150, "loss": 1.9859, "lr": 5.245406611757882e-06, "epoch": 0.1303203159280386, "percentage": 66.0, "elapsed_time": "0:57:05", "remaining_time": "0:29:24"}
|
100 |
+
{"current_steps": 100, "total_steps": 150, "loss": 1.967, "lr": 5.060988736877366e-06, "epoch": 0.13163668275559456, "percentage": 66.67, "elapsed_time": "0:57:40", "remaining_time": "0:28:50"}
|
101 |
+
{"current_steps": 101, "total_steps": 150, "loss": 1.9743, "lr": 4.878766451450451e-06, "epoch": 0.13295304958315052, "percentage": 67.33, "elapsed_time": "0:58:23", "remaining_time": "0:28:19"}
|
102 |
+
{"current_steps": 102, "total_steps": 150, "loss": 1.9683, "lr": 4.698820760623064e-06, "epoch": 0.13426941641070644, "percentage": 68.0, "elapsed_time": "0:58:58", "remaining_time": "0:27:45"}
|
103 |
+
{"current_steps": 103, "total_steps": 150, "loss": 1.9809, "lr": 4.5212316575031325e-06, "epoch": 0.1355857832382624, "percentage": 68.67, "elapsed_time": "0:59:32", "remaining_time": "0:27:10"}
|
104 |
+
{"current_steps": 104, "total_steps": 150, "loss": 1.9852, "lr": 4.346078087600411e-06, "epoch": 0.13690215006581835, "percentage": 69.33, "elapsed_time": "1:00:07", "remaining_time": "0:26:35"}
|
105 |
+
{"current_steps": 105, "total_steps": 150, "loss": 1.9822, "lr": 4.173437913732048e-06, "epoch": 0.13821851689337428, "percentage": 70.0, "elapsed_time": "1:00:41", "remaining_time": "0:26:00"}
|
106 |
+
{"current_steps": 106, "total_steps": 150, "loss": 1.9863, "lr": 4.003387881409397e-06, "epoch": 0.13953488372093023, "percentage": 70.67, "elapsed_time": "1:01:16", "remaining_time": "0:25:26"}
|
107 |
+
{"current_steps": 107, "total_steps": 150, "loss": 1.9854, "lr": 3.836003584721577e-06, "epoch": 0.14085125054848618, "percentage": 71.33, "elapsed_time": "1:01:50", "remaining_time": "0:24:51"}
|
108 |
+
{"current_steps": 108, "total_steps": 150, "loss": 1.9708, "lr": 3.6713594327308343e-06, "epoch": 0.1421676173760421, "percentage": 72.0, "elapsed_time": "1:02:25", "remaining_time": "0:24:16"}
|
109 |
+
{"current_steps": 109, "total_steps": 150, "loss": 1.9883, "lr": 3.509528616394716e-06, "epoch": 0.14348398420359806, "percentage": 72.67, "elapsed_time": "1:03:00", "remaining_time": "0:23:41"}
|
110 |
+
{"current_steps": 110, "total_steps": 150, "loss": 1.9842, "lr": 3.3505830760297543e-06, "epoch": 0.14480035103115402, "percentage": 73.33, "elapsed_time": "1:03:34", "remaining_time": "0:23:07"}
|
111 |
+
{"current_steps": 111, "total_steps": 150, "loss": 1.9907, "lr": 3.1945934693310897e-06, "epoch": 0.14611671785870997, "percentage": 74.0, "elapsed_time": "1:04:09", "remaining_time": "0:22:32"}
|
112 |
+
{"current_steps": 112, "total_steps": 150, "loss": 2.0161, "lr": 3.0416291399622834e-06, "epoch": 0.1474330846862659, "percentage": 74.67, "elapsed_time": "1:04:43", "remaining_time": "0:21:57"}
|
113 |
+
{"current_steps": 113, "total_steps": 150, "loss": 1.9683, "lr": 2.891758086729253e-06, "epoch": 0.14874945151382185, "percentage": 75.33, "elapsed_time": "1:05:18", "remaining_time": "0:21:22"}
|
114 |
+
{"current_steps": 114, "total_steps": 150, "loss": 1.9744, "lr": 2.7450469333520856e-06, "epoch": 0.1500658183413778, "percentage": 76.0, "elapsed_time": "1:05:52", "remaining_time": "0:20:48"}
|
115 |
+
{"current_steps": 115, "total_steps": 150, "loss": 1.9784, "lr": 2.6015608988480956e-06, "epoch": 0.15138218516893373, "percentage": 76.67, "elapsed_time": "1:06:27", "remaining_time": "0:20:13"}
|
116 |
+
{"current_steps": 116, "total_steps": 150, "loss": 1.9881, "lr": 2.4613637685393433e-06, "epoch": 0.15269855199648968, "percentage": 77.33, "elapsed_time": "1:07:01", "remaining_time": "0:19:38"}
|
117 |
+
{"current_steps": 117, "total_steps": 150, "loss": 1.9619, "lr": 2.324517865697501e-06, "epoch": 0.15401491882404564, "percentage": 78.0, "elapsed_time": "1:07:36", "remaining_time": "0:19:04"}
|
118 |
+
{"current_steps": 118, "total_steps": 150, "loss": 1.9747, "lr": 2.19108402383864e-06, "epoch": 0.1553312856516016, "percentage": 78.67, "elapsed_time": "1:08:10", "remaining_time": "0:18:29"}
|
119 |
+
{"current_steps": 119, "total_steps": 150, "loss": 1.994, "lr": 2.06112155968028e-06, "epoch": 0.15664765247915752, "percentage": 79.33, "elapsed_time": "1:08:45", "remaining_time": "0:17:54"}
|
120 |
+
{"current_steps": 120, "total_steps": 150, "loss": 1.9988, "lr": 1.9346882467727323e-06, "epoch": 0.15796401930671347, "percentage": 80.0, "elapsed_time": "1:09:19", "remaining_time": "0:17:19"}
|
121 |
+
{"current_steps": 121, "total_steps": 150, "loss": 1.9916, "lr": 1.811840289816409e-06, "epoch": 0.15928038613426942, "percentage": 80.67, "elapsed_time": "1:09:54", "remaining_time": "0:16:45"}
|
122 |
+
{"current_steps": 122, "total_steps": 150, "loss": 1.9925, "lr": 1.6926322996765899e-06, "epoch": 0.16059675296182535, "percentage": 81.33, "elapsed_time": "1:10:28", "remaining_time": "0:16:10"}
|
123 |
+
{"current_steps": 123, "total_steps": 150, "loss": 1.9966, "lr": 1.5771172691066793e-06, "epoch": 0.1619131197893813, "percentage": 82.0, "elapsed_time": "1:11:03", "remaining_time": "0:15:35"}
|
124 |
+
{"current_steps": 124, "total_steps": 150, "loss": 2.0197, "lr": 1.4653465491908003e-06, "epoch": 0.16322948661693726, "percentage": 82.67, "elapsed_time": "1:11:37", "remaining_time": "0:15:01"}
|
125 |
+
{"current_steps": 125, "total_steps": 150, "loss": 1.9757, "lr": 1.3573698265161683e-06, "epoch": 0.1645458534444932, "percentage": 83.33, "elapsed_time": "1:12:12", "remaining_time": "0:14:26"}
|
126 |
+
{"current_steps": 126, "total_steps": 150, "loss": 1.9807, "lr": 1.2532351010853916e-06, "epoch": 0.16586222027204914, "percentage": 84.0, "elapsed_time": "1:12:46", "remaining_time": "0:13:51"}
|
127 |
+
{"current_steps": 127, "total_steps": 150, "loss": 1.9884, "lr": 1.152988664978556e-06, "epoch": 0.1671785870996051, "percentage": 84.67, "elapsed_time": "1:13:21", "remaining_time": "0:13:17"}
|
128 |
+
{"current_steps": 128, "total_steps": 150, "loss": 1.9954, "lr": 1.0566750817745076e-06, "epoch": 0.16849495392716105, "percentage": 85.33, "elapsed_time": "1:13:55", "remaining_time": "0:12:42"}
|
129 |
+
{"current_steps": 129, "total_steps": 150, "loss": 1.9875, "lr": 9.6433716674057e-07, "epoch": 0.16981132075471697, "percentage": 86.0, "elapsed_time": "1:14:30", "remaining_time": "0:12:07"}
|
130 |
+
{"current_steps": 130, "total_steps": 150, "loss": 1.9922, "lr": 8.760159677994174e-07, "epoch": 0.17112768758227292, "percentage": 86.67, "elapsed_time": "1:15:04", "remaining_time": "0:11:32"}
|
131 |
+
{"current_steps": 131, "total_steps": 150, "loss": 1.9832, "lr": 7.91750747281621e-07, "epoch": 0.17244405440982888, "percentage": 87.33, "elapsed_time": "1:15:38", "remaining_time": "0:10:58"}
|
132 |
+
{"current_steps": 132, "total_steps": 150, "loss": 2.0036, "lr": 7.115789644719728e-07, "epoch": 0.1737604212373848, "percentage": 88.0, "elapsed_time": "1:16:13", "remaining_time": "0:10:23"}
|
133 |
+
{"current_steps": 133, "total_steps": 150, "loss": 1.9851, "lr": 6.355362589573078e-07, "epoch": 0.17507678806494076, "percentage": 88.67, "elapsed_time": "1:16:47", "remaining_time": "0:09:48"}
|
134 |
+
{"current_steps": 134, "total_steps": 150, "loss": 1.9906, "lr": 5.636564347832907e-07, "epoch": 0.1763931548924967, "percentage": 89.33, "elapsed_time": "1:17:22", "remaining_time": "0:09:14"}
|
135 |
+
{"current_steps": 135, "total_steps": 150, "loss": 1.9917, "lr": 4.95971445427137e-07, "epoch": 0.17770952172005267, "percentage": 90.0, "elapsed_time": "1:17:56", "remaining_time": "0:08:39"}
|
136 |
+
{"current_steps": 136, "total_steps": 150, "loss": 1.979, "lr": 4.3251137959302023e-07, "epoch": 0.1790258885476086, "percentage": 90.67, "elapsed_time": "1:18:31", "remaining_time": "0:08:05"}
|
137 |
+
{"current_steps": 137, "total_steps": 150, "loss": 1.9758, "lr": 3.733044478364234e-07, "epoch": 0.18034225537516455, "percentage": 91.33, "elapsed_time": "1:19:05", "remaining_time": "0:07:30"}
|
138 |
+
{"current_steps": 138, "total_steps": 150, "loss": 1.9874, "lr": 3.1837697002341293e-07, "epoch": 0.1816586222027205, "percentage": 92.0, "elapsed_time": "1:19:40", "remaining_time": "0:06:55"}
|
139 |
+
{"current_steps": 139, "total_steps": 150, "loss": 1.9776, "lr": 2.677533636303964e-07, "epoch": 0.18297498903027642, "percentage": 92.67, "elapsed_time": "1:20:14", "remaining_time": "0:06:21"}
|
140 |
+
{"current_steps": 140, "total_steps": 150, "loss": 1.9825, "lr": 2.214561328895748e-07, "epoch": 0.18429135585783238, "percentage": 93.33, "elapsed_time": "1:20:49", "remaining_time": "0:05:46"}
|
141 |
+
{"current_steps": 141, "total_steps": 150, "loss": 1.9873, "lr": 1.7950585878489856e-07, "epoch": 0.18560772268538833, "percentage": 94.0, "elapsed_time": "1:21:23", "remaining_time": "0:05:11"}
|
142 |
+
{"current_steps": 142, "total_steps": 150, "loss": 1.9788, "lr": 1.419211899029971e-07, "epoch": 0.18692408951294429, "percentage": 94.67, "elapsed_time": "1:21:58", "remaining_time": "0:04:37"}
|
143 |
+
{"current_steps": 143, "total_steps": 150, "loss": 1.9888, "lr": 1.0871883414312778e-07, "epoch": 0.1882404563405002, "percentage": 95.33, "elapsed_time": "1:22:32", "remaining_time": "0:04:02"}
|
144 |
+
{"current_steps": 144, "total_steps": 150, "loss": 1.9811, "lr": 7.99135512898408e-08, "epoch": 0.18955682316805617, "percentage": 96.0, "elapsed_time": "1:23:07", "remaining_time": "0:03:27"}
|
145 |
+
{"current_steps": 145, "total_steps": 150, "loss": 1.9833, "lr": 5.55181464516652e-08, "epoch": 0.19087318999561212, "percentage": 96.67, "elapsed_time": "1:23:41", "remaining_time": "0:02:53"}
|
146 |
+
{"current_steps": 146, "total_steps": 150, "loss": 1.9782, "lr": 3.554346436871581e-08, "epoch": 0.19218955682316805, "percentage": 97.33, "elapsed_time": "1:24:16", "remaining_time": "0:02:18"}
|
147 |
+
{"current_steps": 147, "total_steps": 150, "loss": 1.9869, "lr": 1.9998384591773945e-08, "epoch": 0.193505923650724, "percentage": 98.0, "elapsed_time": "1:24:50", "remaining_time": "0:01:43"}
|
148 |
+
{"current_steps": 148, "total_steps": 150, "loss": 1.9946, "lr": 8.889817534969425e-09, "epoch": 0.19482229047827995, "percentage": 98.67, "elapsed_time": "1:25:25", "remaining_time": "0:01:09"}
|
149 |
+
{"current_steps": 149, "total_steps": 150, "loss": 1.9835, "lr": 2.222701403818972e-09, "epoch": 0.1961386573058359, "percentage": 99.33, "elapsed_time": "1:25:59", "remaining_time": "0:00:34"}
|
150 |
+
{"current_steps": 150, "total_steps": 150, "loss": 1.996, "lr": 0.0, "epoch": 0.19745502413339183, "percentage": 100.0, "elapsed_time": "1:26:34", "remaining_time": "0:00:00"}
|
151 |
+
{"current_steps": 150, "total_steps": 150, "epoch": 0.19745502413339183, "percentage": 100.0, "elapsed_time": "1:26:43", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,1092 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.19745502413339183,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 150,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0013163668275559457,
|
13 |
+
"grad_norm": 0.7211491759367259,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 1.9261,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0026327336551118913,
|
20 |
+
"grad_norm": 0.7486434737524514,
|
21 |
+
"learning_rate": 1.999777729859618e-05,
|
22 |
+
"loss": 1.9006,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.003949100482667837,
|
27 |
+
"grad_norm": 13.325845555145555,
|
28 |
+
"learning_rate": 1.9991110182465032e-05,
|
29 |
+
"loss": 2.1757,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.005265467310223783,
|
34 |
+
"grad_norm": 8.105149289944798,
|
35 |
+
"learning_rate": 1.9980001615408228e-05,
|
36 |
+
"loss": 2.1193,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.006581834137779728,
|
41 |
+
"grad_norm": 4.1238351718190644,
|
42 |
+
"learning_rate": 1.9964456535631287e-05,
|
43 |
+
"loss": 2.0406,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.007898200965335674,
|
48 |
+
"grad_norm": 2.390019164808198,
|
49 |
+
"learning_rate": 1.9944481853548335e-05,
|
50 |
+
"loss": 2.0089,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.009214567792891619,
|
55 |
+
"grad_norm": 1.6494732405988457,
|
56 |
+
"learning_rate": 1.9920086448710162e-05,
|
57 |
+
"loss": 1.9896,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.010530934620447565,
|
62 |
+
"grad_norm": 2.0568084440045085,
|
63 |
+
"learning_rate": 1.9891281165856876e-05,
|
64 |
+
"loss": 1.9538,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.01184730144800351,
|
69 |
+
"grad_norm": 1.746033674255867,
|
70 |
+
"learning_rate": 1.9858078810097004e-05,
|
71 |
+
"loss": 1.9822,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.013163668275559455,
|
76 |
+
"grad_norm": 1.3967713783340578,
|
77 |
+
"learning_rate": 1.98204941412151e-05,
|
78 |
+
"loss": 1.9768,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.014480035103115402,
|
83 |
+
"grad_norm": 1.65089292694443,
|
84 |
+
"learning_rate": 1.9778543867110428e-05,
|
85 |
+
"loss": 1.9758,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.015796401930671347,
|
90 |
+
"grad_norm": 1.2861013174507632,
|
91 |
+
"learning_rate": 1.9732246636369605e-05,
|
92 |
+
"loss": 1.9786,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.017112768758227294,
|
97 |
+
"grad_norm": 0.8252394369240796,
|
98 |
+
"learning_rate": 1.968162302997659e-05,
|
99 |
+
"loss": 1.98,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.018429135585783237,
|
104 |
+
"grad_norm": 1.0005195006626915,
|
105 |
+
"learning_rate": 1.962669555216358e-05,
|
106 |
+
"loss": 1.9639,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.019745502413339184,
|
111 |
+
"grad_norm": 1.4352178043541923,
|
112 |
+
"learning_rate": 1.9567488620406984e-05,
|
113 |
+
"loss": 1.9808,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.02106186924089513,
|
118 |
+
"grad_norm": 0.8303153298095659,
|
119 |
+
"learning_rate": 1.9504028554572865e-05,
|
120 |
+
"loss": 1.9648,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.022378236068451074,
|
125 |
+
"grad_norm": 1.404505073273737,
|
126 |
+
"learning_rate": 1.943634356521671e-05,
|
127 |
+
"loss": 1.9743,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.02369460289600702,
|
132 |
+
"grad_norm": 0.9799958151016589,
|
133 |
+
"learning_rate": 1.9364463741042694e-05,
|
134 |
+
"loss": 1.9396,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.025010969723562967,
|
139 |
+
"grad_norm": 0.7125809437112708,
|
140 |
+
"learning_rate": 1.928842103552803e-05,
|
141 |
+
"loss": 1.9493,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.02632733655111891,
|
146 |
+
"grad_norm": 1.0260490332440508,
|
147 |
+
"learning_rate": 1.920824925271838e-05,
|
148 |
+
"loss": 1.9657,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.027643703378674857,
|
153 |
+
"grad_norm": 1.026830841937651,
|
154 |
+
"learning_rate": 1.9123984032200586e-05,
|
155 |
+
"loss": 1.9447,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.028960070206230804,
|
160 |
+
"grad_norm": 0.5967900308007423,
|
161 |
+
"learning_rate": 1.9035662833259433e-05,
|
162 |
+
"loss": 1.9623,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.030276437033786747,
|
167 |
+
"grad_norm": 0.7530918392820164,
|
168 |
+
"learning_rate": 1.8943324918225495e-05,
|
169 |
+
"loss": 1.9615,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.031592803861342694,
|
174 |
+
"grad_norm": 0.8265653626705934,
|
175 |
+
"learning_rate": 1.8847011335021447e-05,
|
176 |
+
"loss": 1.9477,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.03290917068889864,
|
181 |
+
"grad_norm": 0.6230744161074221,
|
182 |
+
"learning_rate": 1.874676489891461e-05,
|
183 |
+
"loss": 1.9501,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.03422553751645459,
|
188 |
+
"grad_norm": 0.5776206283484728,
|
189 |
+
"learning_rate": 1.8642630173483832e-05,
|
190 |
+
"loss": 1.95,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.03554190434401053,
|
195 |
+
"grad_norm": 0.6475828415339461,
|
196 |
+
"learning_rate": 1.85346534508092e-05,
|
197 |
+
"loss": 1.954,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.036858271171566474,
|
202 |
+
"grad_norm": 0.6175950618623995,
|
203 |
+
"learning_rate": 1.8422882730893323e-05,
|
204 |
+
"loss": 1.9723,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.03817463799912242,
|
209 |
+
"grad_norm": 0.48955184760547843,
|
210 |
+
"learning_rate": 1.8307367700323412e-05,
|
211 |
+
"loss": 1.9689,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.03949100482667837,
|
216 |
+
"grad_norm": 0.5627729339809433,
|
217 |
+
"learning_rate": 1.8188159710183595e-05,
|
218 |
+
"loss": 1.9383,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.040807371654234315,
|
223 |
+
"grad_norm": 0.5843115162113592,
|
224 |
+
"learning_rate": 1.8065311753227272e-05,
|
225 |
+
"loss": 1.9839,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.04212373848179026,
|
230 |
+
"grad_norm": 0.46825827290489286,
|
231 |
+
"learning_rate": 1.7938878440319722e-05,
|
232 |
+
"loss": 1.9751,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.0434401053093462,
|
237 |
+
"grad_norm": 0.5121356731921046,
|
238 |
+
"learning_rate": 1.7808915976161364e-05,
|
239 |
+
"loss": 1.9782,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.04475647213690215,
|
244 |
+
"grad_norm": 0.4946367754339634,
|
245 |
+
"learning_rate": 1.7675482134302503e-05,
|
246 |
+
"loss": 1.9586,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.046072838964458095,
|
251 |
+
"grad_norm": 0.5321421781184499,
|
252 |
+
"learning_rate": 1.753863623146066e-05,
|
253 |
+
"loss": 1.9623,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.04738920579201404,
|
258 |
+
"grad_norm": 0.49841500005666933,
|
259 |
+
"learning_rate": 1.7398439101151908e-05,
|
260 |
+
"loss": 1.9485,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.04870557261956999,
|
265 |
+
"grad_norm": 0.5015785236055983,
|
266 |
+
"learning_rate": 1.7254953066647915e-05,
|
267 |
+
"loss": 1.9528,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.050021939447125935,
|
272 |
+
"grad_norm": 0.5068614182885935,
|
273 |
+
"learning_rate": 1.710824191327075e-05,
|
274 |
+
"loss": 1.9858,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.051338306274681875,
|
279 |
+
"grad_norm": 0.5343507342806129,
|
280 |
+
"learning_rate": 1.695837086003772e-05,
|
281 |
+
"loss": 1.9609,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.05265467310223782,
|
286 |
+
"grad_norm": 0.5334849711475083,
|
287 |
+
"learning_rate": 1.680540653066891e-05,
|
288 |
+
"loss": 1.959,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.05397103992979377,
|
293 |
+
"grad_norm": 0.4554441367354399,
|
294 |
+
"learning_rate": 1.6649416923970248e-05,
|
295 |
+
"loss": 1.9596,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.055287406757349715,
|
300 |
+
"grad_norm": 0.5693121720524362,
|
301 |
+
"learning_rate": 1.649047138360529e-05,
|
302 |
+
"loss": 1.9514,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.05660377358490566,
|
307 |
+
"grad_norm": 0.5691191050538144,
|
308 |
+
"learning_rate": 1.632864056726917e-05,
|
309 |
+
"loss": 1.9523,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.05792014041246161,
|
314 |
+
"grad_norm": 0.47820348756941083,
|
315 |
+
"learning_rate": 1.6163996415278423e-05,
|
316 |
+
"loss": 1.9782,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.05923650724001755,
|
321 |
+
"grad_norm": 0.5159202693438228,
|
322 |
+
"learning_rate": 1.5996612118590604e-05,
|
323 |
+
"loss": 1.9582,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.060552874067573495,
|
328 |
+
"grad_norm": 0.556592049641545,
|
329 |
+
"learning_rate": 1.5826562086267956e-05,
|
330 |
+
"loss": 1.9775,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.06186924089512944,
|
335 |
+
"grad_norm": 0.5850524732394254,
|
336 |
+
"learning_rate": 1.565392191239959e-05,
|
337 |
+
"loss": 1.9651,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.06318560772268539,
|
342 |
+
"grad_norm": 0.4835939602122527,
|
343 |
+
"learning_rate": 1.5478768342496872e-05,
|
344 |
+
"loss": 1.955,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.06450197455024133,
|
349 |
+
"grad_norm": 0.44146549041758676,
|
350 |
+
"learning_rate": 1.5301179239376936e-05,
|
351 |
+
"loss": 1.9691,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.06581834137779728,
|
356 |
+
"grad_norm": 0.5280299432517168,
|
357 |
+
"learning_rate": 1.512123354854955e-05,
|
358 |
+
"loss": 1.9485,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.06713470820535322,
|
363 |
+
"grad_norm": 0.5524916916858923,
|
364 |
+
"learning_rate": 1.4939011263122635e-05,
|
365 |
+
"loss": 1.9493,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.06845107503290918,
|
370 |
+
"grad_norm": 0.47531567433880617,
|
371 |
+
"learning_rate": 1.4754593388242117e-05,
|
372 |
+
"loss": 1.9584,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.06976744186046512,
|
377 |
+
"grad_norm": 0.45272463859878564,
|
378 |
+
"learning_rate": 1.4568061905081874e-05,
|
379 |
+
"loss": 1.9494,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.07108380868802106,
|
384 |
+
"grad_norm": 0.4702181357165236,
|
385 |
+
"learning_rate": 1.4379499734399797e-05,
|
386 |
+
"loss": 1.9619,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.07240017551557701,
|
391 |
+
"grad_norm": 0.45379341896591296,
|
392 |
+
"learning_rate": 1.4188990699676186e-05,
|
393 |
+
"loss": 1.9585,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.07371654234313295,
|
398 |
+
"grad_norm": 0.4775896961874003,
|
399 |
+
"learning_rate": 1.3996619489850822e-05,
|
400 |
+
"loss": 1.9713,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.0750329091706889,
|
405 |
+
"grad_norm": 0.4814200193397695,
|
406 |
+
"learning_rate": 1.3802471621675337e-05,
|
407 |
+
"loss": 1.954,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.07634927599824484,
|
412 |
+
"grad_norm": 0.5271247311659947,
|
413 |
+
"learning_rate": 1.3606633401697557e-05,
|
414 |
+
"loss": 1.9769,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.0776656428258008,
|
419 |
+
"grad_norm": 0.47173817615214364,
|
420 |
+
"learning_rate": 1.340919188789477e-05,
|
421 |
+
"loss": 1.957,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.07898200965335674,
|
426 |
+
"grad_norm": 0.4219944844859643,
|
427 |
+
"learning_rate": 1.3210234850972966e-05,
|
428 |
+
"loss": 1.9752,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.08029837648091268,
|
433 |
+
"grad_norm": 0.4790011427747401,
|
434 |
+
"learning_rate": 1.300985073534919e-05,
|
435 |
+
"loss": 1.9747,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.08161474330846863,
|
440 |
+
"grad_norm": 0.4441961940866282,
|
441 |
+
"learning_rate": 1.280812861983446e-05,
|
442 |
+
"loss": 1.9544,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.08293111013602457,
|
447 |
+
"grad_norm": 0.45824396425465297,
|
448 |
+
"learning_rate": 1.2605158178034656e-05,
|
449 |
+
"loss": 1.9594,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.08424747696358052,
|
454 |
+
"grad_norm": 0.4355014232337334,
|
455 |
+
"learning_rate": 1.2401029638486952e-05,
|
456 |
+
"loss": 1.9369,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.08556384379113646,
|
461 |
+
"grad_norm": 0.4231369314259089,
|
462 |
+
"learning_rate": 1.219583374454963e-05,
|
463 |
+
"loss": 1.9738,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.0868802106186924,
|
468 |
+
"grad_norm": 0.45570619643070215,
|
469 |
+
"learning_rate": 1.1989661714063e-05,
|
470 |
+
"loss": 1.9912,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.08819657744624836,
|
475 |
+
"grad_norm": 0.37812336844029865,
|
476 |
+
"learning_rate": 1.1782605198799371e-05,
|
477 |
+
"loss": 1.9784,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.0895129442738043,
|
482 |
+
"grad_norm": 0.43070668661161077,
|
483 |
+
"learning_rate": 1.157475624372018e-05,
|
484 |
+
"loss": 1.951,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.09082931110136025,
|
489 |
+
"grad_norm": 0.4218410596859208,
|
490 |
+
"learning_rate": 1.1366207246058269e-05,
|
491 |
+
"loss": 1.9619,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.09214567792891619,
|
496 |
+
"grad_norm": 0.39509398596716727,
|
497 |
+
"learning_rate": 1.1157050914243614e-05,
|
498 |
+
"loss": 1.9736,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.09346204475647214,
|
503 |
+
"grad_norm": 0.42796823466878475,
|
504 |
+
"learning_rate": 1.0947380226690686e-05,
|
505 |
+
"loss": 1.969,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.09477841158402808,
|
510 |
+
"grad_norm": 0.3830330189798859,
|
511 |
+
"learning_rate": 1.0737288390465792e-05,
|
512 |
+
"loss": 1.9592,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.09609477841158402,
|
517 |
+
"grad_norm": 0.4151941986685396,
|
518 |
+
"learning_rate": 1.0526868799852797e-05,
|
519 |
+
"loss": 1.9824,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.09741114523913998,
|
524 |
+
"grad_norm": 0.4129906835751094,
|
525 |
+
"learning_rate": 1.031621499483559e-05,
|
526 |
+
"loss": 1.9754,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.09872751206669592,
|
531 |
+
"grad_norm": 0.37038541407177233,
|
532 |
+
"learning_rate": 1.0105420619515798e-05,
|
533 |
+
"loss": 1.9659,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.10004387889425187,
|
538 |
+
"grad_norm": 0.4024942738947187,
|
539 |
+
"learning_rate": 9.894579380484206e-06,
|
540 |
+
"loss": 1.9821,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.10136024572180781,
|
545 |
+
"grad_norm": 0.3924522821035196,
|
546 |
+
"learning_rate": 9.683785005164412e-06,
|
547 |
+
"loss": 1.9871,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.10267661254936375,
|
552 |
+
"grad_norm": 0.3903897898907002,
|
553 |
+
"learning_rate": 9.473131200147205e-06,
|
554 |
+
"loss": 1.9936,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.1039929793769197,
|
559 |
+
"grad_norm": 0.37456390666059425,
|
560 |
+
"learning_rate": 9.262711609534211e-06,
|
561 |
+
"loss": 1.9791,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.10530934620447564,
|
566 |
+
"grad_norm": 0.38352789789852887,
|
567 |
+
"learning_rate": 9.052619773309318e-06,
|
568 |
+
"loss": 1.9704,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.1066257130320316,
|
573 |
+
"grad_norm": 0.3398793764087006,
|
574 |
+
"learning_rate": 8.842949085756389e-06,
|
575 |
+
"loss": 1.9658,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.10794207985958754,
|
580 |
+
"grad_norm": 0.35035212137475186,
|
581 |
+
"learning_rate": 8.633792753941733e-06,
|
582 |
+
"loss": 1.9759,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.10925844668714349,
|
587 |
+
"grad_norm": 0.38362703145032767,
|
588 |
+
"learning_rate": 8.425243756279824e-06,
|
589 |
+
"loss": 1.9546,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.11057481351469943,
|
594 |
+
"grad_norm": 0.33953622024923164,
|
595 |
+
"learning_rate": 8.217394801200632e-06,
|
596 |
+
"loss": 1.9762,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.11189118034225537,
|
601 |
+
"grad_norm": 0.3529326737966424,
|
602 |
+
"learning_rate": 8.010338285937006e-06,
|
603 |
+
"loss": 1.9645,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.11320754716981132,
|
608 |
+
"grad_norm": 0.3589128762503322,
|
609 |
+
"learning_rate": 7.804166255450372e-06,
|
610 |
+
"loss": 1.9702,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.11452391399736726,
|
615 |
+
"grad_norm": 0.35199885106641443,
|
616 |
+
"learning_rate": 7.598970361513052e-06,
|
617 |
+
"loss": 1.9738,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.11584028082492322,
|
622 |
+
"grad_norm": 0.3303328690896044,
|
623 |
+
"learning_rate": 7.394841821965345e-06,
|
624 |
+
"loss": 1.9517,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.11715664765247916,
|
629 |
+
"grad_norm": 0.3070650490072722,
|
630 |
+
"learning_rate": 7.191871380165538e-06,
|
631 |
+
"loss": 1.976,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.1184730144800351,
|
636 |
+
"grad_norm": 0.3425188692261718,
|
637 |
+
"learning_rate": 6.990149264650814e-06,
|
638 |
+
"loss": 1.9679,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.11978938130759105,
|
643 |
+
"grad_norm": 0.31400541161735,
|
644 |
+
"learning_rate": 6.789765149027039e-06,
|
645 |
+
"loss": 1.9744,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.12110574813514699,
|
650 |
+
"grad_norm": 0.2812642549380601,
|
651 |
+
"learning_rate": 6.590808112105232e-06,
|
652 |
+
"loss": 1.991,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.12242211496270294,
|
657 |
+
"grad_norm": 0.3484100272693502,
|
658 |
+
"learning_rate": 6.3933665983024465e-06,
|
659 |
+
"loss": 1.9758,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.12373848179025888,
|
664 |
+
"grad_norm": 0.29533510297797094,
|
665 |
+
"learning_rate": 6.197528378324664e-06,
|
666 |
+
"loss": 1.9532,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.12505484861781482,
|
671 |
+
"grad_norm": 0.3106735461942925,
|
672 |
+
"learning_rate": 6.003380510149179e-06,
|
673 |
+
"loss": 1.9808,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.12637121544537078,
|
678 |
+
"grad_norm": 0.3039339424173133,
|
679 |
+
"learning_rate": 5.8110093003238175e-06,
|
680 |
+
"loss": 2.0037,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.12768758227292673,
|
685 |
+
"grad_norm": 0.32068909556214314,
|
686 |
+
"learning_rate": 5.620500265600206e-06,
|
687 |
+
"loss": 1.9765,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.12900394910048266,
|
692 |
+
"grad_norm": 0.30235061650814415,
|
693 |
+
"learning_rate": 5.431938094918132e-06,
|
694 |
+
"loss": 1.9872,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.1303203159280386,
|
699 |
+
"grad_norm": 0.2806362106759796,
|
700 |
+
"learning_rate": 5.245406611757882e-06,
|
701 |
+
"loss": 1.9859,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.13163668275559456,
|
706 |
+
"grad_norm": 0.27623419463635634,
|
707 |
+
"learning_rate": 5.060988736877366e-06,
|
708 |
+
"loss": 1.967,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.13295304958315052,
|
713 |
+
"grad_norm": 0.30416859069440383,
|
714 |
+
"learning_rate": 4.878766451450451e-06,
|
715 |
+
"loss": 1.9743,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.13426941641070644,
|
720 |
+
"grad_norm": 0.28168492270097995,
|
721 |
+
"learning_rate": 4.698820760623064e-06,
|
722 |
+
"loss": 1.9683,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.1355857832382624,
|
727 |
+
"grad_norm": 0.25701853953499526,
|
728 |
+
"learning_rate": 4.5212316575031325e-06,
|
729 |
+
"loss": 1.9809,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.13690215006581835,
|
734 |
+
"grad_norm": 0.26352997212190776,
|
735 |
+
"learning_rate": 4.346078087600411e-06,
|
736 |
+
"loss": 1.9852,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.13821851689337428,
|
741 |
+
"grad_norm": 0.2774470031738603,
|
742 |
+
"learning_rate": 4.173437913732048e-06,
|
743 |
+
"loss": 1.9822,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.13953488372093023,
|
748 |
+
"grad_norm": 0.26016253702735714,
|
749 |
+
"learning_rate": 4.003387881409397e-06,
|
750 |
+
"loss": 1.9863,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.14085125054848618,
|
755 |
+
"grad_norm": 0.24520268288962063,
|
756 |
+
"learning_rate": 3.836003584721577e-06,
|
757 |
+
"loss": 1.9854,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.1421676173760421,
|
762 |
+
"grad_norm": 0.25962753823152684,
|
763 |
+
"learning_rate": 3.6713594327308343e-06,
|
764 |
+
"loss": 1.9708,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.14348398420359806,
|
769 |
+
"grad_norm": 0.2450558999574294,
|
770 |
+
"learning_rate": 3.509528616394716e-06,
|
771 |
+
"loss": 1.9883,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.14480035103115402,
|
776 |
+
"grad_norm": 0.2540644323176429,
|
777 |
+
"learning_rate": 3.3505830760297543e-06,
|
778 |
+
"loss": 1.9842,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.14611671785870997,
|
783 |
+
"grad_norm": 0.2511336974868001,
|
784 |
+
"learning_rate": 3.1945934693310897e-06,
|
785 |
+
"loss": 1.9907,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.1474330846862659,
|
790 |
+
"grad_norm": 0.2520194579274834,
|
791 |
+
"learning_rate": 3.0416291399622834e-06,
|
792 |
+
"loss": 2.0161,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.14874945151382185,
|
797 |
+
"grad_norm": 0.24030125812599737,
|
798 |
+
"learning_rate": 2.891758086729253e-06,
|
799 |
+
"loss": 1.9683,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.1500658183413778,
|
804 |
+
"grad_norm": 0.25198964259356177,
|
805 |
+
"learning_rate": 2.7450469333520856e-06,
|
806 |
+
"loss": 1.9744,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.15138218516893373,
|
811 |
+
"grad_norm": 0.24584263977943674,
|
812 |
+
"learning_rate": 2.6015608988480956e-06,
|
813 |
+
"loss": 1.9784,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.15269855199648968,
|
818 |
+
"grad_norm": 0.23071754319622353,
|
819 |
+
"learning_rate": 2.4613637685393433e-06,
|
820 |
+
"loss": 1.9881,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.15401491882404564,
|
825 |
+
"grad_norm": 0.22843475214114475,
|
826 |
+
"learning_rate": 2.324517865697501e-06,
|
827 |
+
"loss": 1.9619,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.1553312856516016,
|
832 |
+
"grad_norm": 0.22517499817054293,
|
833 |
+
"learning_rate": 2.19108402383864e-06,
|
834 |
+
"loss": 1.9747,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.15664765247915752,
|
839 |
+
"grad_norm": 0.22745976008029595,
|
840 |
+
"learning_rate": 2.06112155968028e-06,
|
841 |
+
"loss": 1.994,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.15796401930671347,
|
846 |
+
"grad_norm": 0.22047239875500865,
|
847 |
+
"learning_rate": 1.9346882467727323e-06,
|
848 |
+
"loss": 1.9988,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.15928038613426942,
|
853 |
+
"grad_norm": 0.2288393265643624,
|
854 |
+
"learning_rate": 1.811840289816409e-06,
|
855 |
+
"loss": 1.9916,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.16059675296182535,
|
860 |
+
"grad_norm": 0.210617978293029,
|
861 |
+
"learning_rate": 1.6926322996765899e-06,
|
862 |
+
"loss": 1.9925,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.1619131197893813,
|
867 |
+
"grad_norm": 0.22672890929369188,
|
868 |
+
"learning_rate": 1.5771172691066793e-06,
|
869 |
+
"loss": 1.9966,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.16322948661693726,
|
874 |
+
"grad_norm": 0.2092439044635155,
|
875 |
+
"learning_rate": 1.4653465491908003e-06,
|
876 |
+
"loss": 2.0197,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.1645458534444932,
|
881 |
+
"grad_norm": 0.23171631380591984,
|
882 |
+
"learning_rate": 1.3573698265161683e-06,
|
883 |
+
"loss": 1.9757,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.16586222027204914,
|
888 |
+
"grad_norm": 0.21732365123324443,
|
889 |
+
"learning_rate": 1.2532351010853916e-06,
|
890 |
+
"loss": 1.9807,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.1671785870996051,
|
895 |
+
"grad_norm": 0.2102223203829434,
|
896 |
+
"learning_rate": 1.152988664978556e-06,
|
897 |
+
"loss": 1.9884,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.16849495392716105,
|
902 |
+
"grad_norm": 0.2068629684474071,
|
903 |
+
"learning_rate": 1.0566750817745076e-06,
|
904 |
+
"loss": 1.9954,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.16981132075471697,
|
909 |
+
"grad_norm": 0.20342610599286592,
|
910 |
+
"learning_rate": 9.6433716674057e-07,
|
911 |
+
"loss": 1.9875,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.17112768758227292,
|
916 |
+
"grad_norm": 0.2207294165566657,
|
917 |
+
"learning_rate": 8.760159677994174e-07,
|
918 |
+
"loss": 1.9922,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.17244405440982888,
|
923 |
+
"grad_norm": 0.20892064152928483,
|
924 |
+
"learning_rate": 7.91750747281621e-07,
|
925 |
+
"loss": 1.9832,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.1737604212373848,
|
930 |
+
"grad_norm": 0.20323723950795747,
|
931 |
+
"learning_rate": 7.115789644719728e-07,
|
932 |
+
"loss": 2.0036,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.17507678806494076,
|
937 |
+
"grad_norm": 0.19306149399613967,
|
938 |
+
"learning_rate": 6.355362589573078e-07,
|
939 |
+
"loss": 1.9851,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.1763931548924967,
|
944 |
+
"grad_norm": 0.1996406839141809,
|
945 |
+
"learning_rate": 5.636564347832907e-07,
|
946 |
+
"loss": 1.9906,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.17770952172005267,
|
951 |
+
"grad_norm": 0.1907672927300904,
|
952 |
+
"learning_rate": 4.95971445427137e-07,
|
953 |
+
"loss": 1.9917,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.1790258885476086,
|
958 |
+
"grad_norm": 0.1903641108666616,
|
959 |
+
"learning_rate": 4.3251137959302023e-07,
|
960 |
+
"loss": 1.979,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.18034225537516455,
|
965 |
+
"grad_norm": 0.1933990262191582,
|
966 |
+
"learning_rate": 3.733044478364234e-07,
|
967 |
+
"loss": 1.9758,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.1816586222027205,
|
972 |
+
"grad_norm": 0.1849617366395776,
|
973 |
+
"learning_rate": 3.1837697002341293e-07,
|
974 |
+
"loss": 1.9874,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.18297498903027642,
|
979 |
+
"grad_norm": 0.1896652425818316,
|
980 |
+
"learning_rate": 2.677533636303964e-07,
|
981 |
+
"loss": 1.9776,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.18429135585783238,
|
986 |
+
"grad_norm": 0.19421748901847316,
|
987 |
+
"learning_rate": 2.214561328895748e-07,
|
988 |
+
"loss": 1.9825,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.18560772268538833,
|
993 |
+
"grad_norm": 0.1956035221064292,
|
994 |
+
"learning_rate": 1.7950585878489856e-07,
|
995 |
+
"loss": 1.9873,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.18692408951294429,
|
1000 |
+
"grad_norm": 0.19967363712410285,
|
1001 |
+
"learning_rate": 1.419211899029971e-07,
|
1002 |
+
"loss": 1.9788,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.1882404563405002,
|
1007 |
+
"grad_norm": 0.18474817640649746,
|
1008 |
+
"learning_rate": 1.0871883414312778e-07,
|
1009 |
+
"loss": 1.9888,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.18955682316805617,
|
1014 |
+
"grad_norm": 0.1864458375859747,
|
1015 |
+
"learning_rate": 7.99135512898408e-08,
|
1016 |
+
"loss": 1.9811,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.19087318999561212,
|
1021 |
+
"grad_norm": 0.18257336160991286,
|
1022 |
+
"learning_rate": 5.55181464516652e-08,
|
1023 |
+
"loss": 1.9833,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.19218955682316805,
|
1028 |
+
"grad_norm": 0.190055973888541,
|
1029 |
+
"learning_rate": 3.554346436871581e-08,
|
1030 |
+
"loss": 1.9782,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.193505923650724,
|
1035 |
+
"grad_norm": 0.18495546875149854,
|
1036 |
+
"learning_rate": 1.9998384591773945e-08,
|
1037 |
+
"loss": 1.9869,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.19482229047827995,
|
1042 |
+
"grad_norm": 0.18240518242205553,
|
1043 |
+
"learning_rate": 8.889817534969425e-09,
|
1044 |
+
"loss": 1.9946,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.1961386573058359,
|
1049 |
+
"grad_norm": 0.18579782376852144,
|
1050 |
+
"learning_rate": 2.222701403818972e-09,
|
1051 |
+
"loss": 1.9835,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.19745502413339183,
|
1056 |
+
"grad_norm": 0.20258365648035168,
|
1057 |
+
"learning_rate": 0.0,
|
1058 |
+
"loss": 1.996,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.19745502413339183,
|
1063 |
+
"step": 150,
|
1064 |
+
"total_flos": 349677715193856.0,
|
1065 |
+
"train_loss": 1.9757762233416238,
|
1066 |
+
"train_runtime": 5203.4288,
|
1067 |
+
"train_samples_per_second": 58.116,
|
1068 |
+
"train_steps_per_second": 0.029
|
1069 |
+
}
|
1070 |
+
],
|
1071 |
+
"logging_steps": 1,
|
1072 |
+
"max_steps": 150,
|
1073 |
+
"num_input_tokens_seen": 0,
|
1074 |
+
"num_train_epochs": 1,
|
1075 |
+
"save_steps": 50,
|
1076 |
+
"stateful_callbacks": {
|
1077 |
+
"TrainerControl": {
|
1078 |
+
"args": {
|
1079 |
+
"should_epoch_stop": false,
|
1080 |
+
"should_evaluate": false,
|
1081 |
+
"should_log": false,
|
1082 |
+
"should_save": true,
|
1083 |
+
"should_training_stop": true
|
1084 |
+
},
|
1085 |
+
"attributes": {}
|
1086 |
+
}
|
1087 |
+
},
|
1088 |
+
"total_flos": 349677715193856.0,
|
1089 |
+
"train_batch_size": 42,
|
1090 |
+
"trial_name": null,
|
1091 |
+
"trial_params": null
|
1092 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b11d827185ff2c4f5be4d00784b23723f7c0343886da11a85f7598005c12964a
|
3 |
+
size 7224
|
training_loss.png
ADDED
![]() |