Uploading /ephemeral/hossein/output/newData-progressive-yoco-tiny-llama-CDL-19
Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +1 -0
- generation_config.json +7 -0
- runs/Nov29_09-08-59_creative-turing-2/events.out.tfevents.1732871548.creative-turing-2.2669372.0 +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 +51 -0
- trainer_state.json +392 -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: newData-progressive-yoco-tiny-llama-CDL-19
|
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 |
+
# newData-progressive-yoco-tiny-llama-CDL-19
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [/ephemeral/hossein/output/newData-progressive-yoco-tiny-llama-CDL-20/checkpoint-50](https://huggingface.co//ephemeral/hossein/output/newData-progressive-yoco-tiny-llama-CDL-20/checkpoint-50) on the alpaca_reformatted, the UltraInteract_sft_reformatted, 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: 58
|
40 |
+
- eval_batch_size: 1
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 8
|
44 |
+
- gradient_accumulation_steps: 4
|
45 |
+
- total_train_batch_size: 1856
|
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: 50
|
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": 0.05959475566150179,
|
3 |
+
"total_flos": 106890730143744.0,
|
4 |
+
"train_loss": 1.9979763078689574,
|
5 |
+
"train_runtime": 1596.1705,
|
6 |
+
"train_samples_per_second": 58.139,
|
7 |
+
"train_steps_per_second": 0.031
|
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": 3, "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 |
+
}
|
runs/Nov29_09-08-59_creative-turing-2/events.out.tfevents.1732871548.creative-turing-2.2669372.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e5c46e5f28bdd370e40f8445efe2502de326569fc588f9d95e22af03b591b549
|
3 |
+
size 16158
|
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": 0.05959475566150179,
|
3 |
+
"total_flos": 106890730143744.0,
|
4 |
+
"train_loss": 1.9979763078689574,
|
5 |
+
"train_runtime": 1596.1705,
|
6 |
+
"train_samples_per_second": 58.139,
|
7 |
+
"train_steps_per_second": 0.031
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 50, "loss": 2.1072, "lr": 2e-05, "epoch": 0.0011918951132300357, "percentage": 2.0, "elapsed_time": "0:00:34", "remaining_time": "0:28:32"}
|
2 |
+
{"current_steps": 2, "total_steps": 50, "loss": 2.101, "lr": 1.9979453927503366e-05, "epoch": 0.0023837902264600714, "percentage": 4.0, "elapsed_time": "0:01:06", "remaining_time": "0:26:30"}
|
3 |
+
{"current_steps": 3, "total_steps": 50, "loss": 2.0284, "lr": 1.991790013823246e-05, "epoch": 0.003575685339690107, "percentage": 6.0, "elapsed_time": "0:01:37", "remaining_time": "0:25:32"}
|
4 |
+
{"current_steps": 4, "total_steps": 50, "loss": 2.0343, "lr": 1.9815591569910654e-05, "epoch": 0.004767580452920143, "percentage": 8.0, "elapsed_time": "0:02:09", "remaining_time": "0:24:49"}
|
5 |
+
{"current_steps": 5, "total_steps": 50, "loss": 2.022, "lr": 1.9672948630390296e-05, "epoch": 0.0059594755661501785, "percentage": 10.0, "elapsed_time": "0:02:41", "remaining_time": "0:24:10"}
|
6 |
+
{"current_steps": 6, "total_steps": 50, "loss": 2.0615, "lr": 1.949055747010669e-05, "epoch": 0.007151370679380214, "percentage": 12.0, "elapsed_time": "0:03:12", "remaining_time": "0:23:34"}
|
7 |
+
{"current_steps": 7, "total_steps": 50, "loss": 2.0193, "lr": 1.926916757346022e-05, "epoch": 0.00834326579261025, "percentage": 14.0, "elapsed_time": "0:03:44", "remaining_time": "0:22:59"}
|
8 |
+
{"current_steps": 8, "total_steps": 50, "loss": 1.9835, "lr": 1.900968867902419e-05, "epoch": 0.009535160905840286, "percentage": 16.0, "elapsed_time": "0:04:16", "remaining_time": "0:22:25"}
|
9 |
+
{"current_steps": 9, "total_steps": 50, "loss": 2.0048, "lr": 1.8713187041233896e-05, "epoch": 0.010727056019070322, "percentage": 18.0, "elapsed_time": "0:04:47", "remaining_time": "0:21:51"}
|
10 |
+
{"current_steps": 10, "total_steps": 50, "loss": 1.9825, "lr": 1.8380881048918406e-05, "epoch": 0.011918951132300357, "percentage": 20.0, "elapsed_time": "0:05:19", "remaining_time": "0:21:18"}
|
11 |
+
{"current_steps": 11, "total_steps": 50, "loss": 1.9862, "lr": 1.8014136218679566e-05, "epoch": 0.013110846245530394, "percentage": 22.0, "elapsed_time": "0:05:51", "remaining_time": "0:20:45"}
|
12 |
+
{"current_steps": 12, "total_steps": 50, "loss": 1.9776, "lr": 1.7614459583691346e-05, "epoch": 0.014302741358760428, "percentage": 24.0, "elapsed_time": "0:06:23", "remaining_time": "0:20:13"}
|
13 |
+
{"current_steps": 13, "total_steps": 50, "loss": 1.9674, "lr": 1.7183493500977277e-05, "epoch": 0.015494636471990465, "percentage": 26.0, "elapsed_time": "0:06:54", "remaining_time": "0:19:40"}
|
14 |
+
{"current_steps": 14, "total_steps": 50, "loss": 1.9734, "lr": 1.672300890261317e-05, "epoch": 0.0166865315852205, "percentage": 28.0, "elapsed_time": "0:07:26", "remaining_time": "0:19:08"}
|
15 |
+
{"current_steps": 15, "total_steps": 50, "loss": 1.9846, "lr": 1.6234898018587336e-05, "epoch": 0.017878426698450536, "percentage": 30.0, "elapsed_time": "0:07:58", "remaining_time": "0:18:36"}
|
16 |
+
{"current_steps": 16, "total_steps": 50, "loss": 1.9647, "lr": 1.5721166601221697e-05, "epoch": 0.01907032181168057, "percentage": 32.0, "elapsed_time": "0:08:30", "remaining_time": "0:18:03"}
|
17 |
+
{"current_steps": 17, "total_steps": 50, "loss": 1.9842, "lr": 1.5183925683105254e-05, "epoch": 0.02026221692491061, "percentage": 34.0, "elapsed_time": "0:09:01", "remaining_time": "0:17:31"}
|
18 |
+
{"current_steps": 18, "total_steps": 50, "loss": 1.9792, "lr": 1.4625382902408356e-05, "epoch": 0.021454112038140644, "percentage": 36.0, "elapsed_time": "0:09:33", "remaining_time": "0:16:59"}
|
19 |
+
{"current_steps": 19, "total_steps": 50, "loss": 1.992, "lr": 1.4047833431223938e-05, "epoch": 0.02264600715137068, "percentage": 38.0, "elapsed_time": "0:10:05", "remaining_time": "0:16:27"}
|
20 |
+
{"current_steps": 20, "total_steps": 50, "loss": 2.0017, "lr": 1.3453650544213078e-05, "epoch": 0.023837902264600714, "percentage": 40.0, "elapsed_time": "0:10:36", "remaining_time": "0:15:55"}
|
21 |
+
{"current_steps": 21, "total_steps": 50, "loss": 1.9654, "lr": 1.2845275866310325e-05, "epoch": 0.025029797377830752, "percentage": 42.0, "elapsed_time": "0:11:08", "remaining_time": "0:15:23"}
|
22 |
+
{"current_steps": 22, "total_steps": 50, "loss": 1.9742, "lr": 1.2225209339563144e-05, "epoch": 0.026221692491060787, "percentage": 44.0, "elapsed_time": "0:11:40", "remaining_time": "0:14:51"}
|
23 |
+
{"current_steps": 23, "total_steps": 50, "loss": 1.9899, "lr": 1.1595998950333794e-05, "epoch": 0.027413587604290822, "percentage": 46.0, "elapsed_time": "0:12:12", "remaining_time": "0:14:19"}
|
24 |
+
{"current_steps": 24, "total_steps": 50, "loss": 1.982, "lr": 1.0960230259076819e-05, "epoch": 0.028605482717520857, "percentage": 48.0, "elapsed_time": "0:12:43", "remaining_time": "0:13:47"}
|
25 |
+
{"current_steps": 25, "total_steps": 50, "loss": 1.989, "lr": 1.0320515775716556e-05, "epoch": 0.029797377830750895, "percentage": 50.0, "elapsed_time": "0:13:15", "remaining_time": "0:13:15"}
|
26 |
+
{"current_steps": 26, "total_steps": 50, "loss": 1.9926, "lr": 9.67948422428345e-06, "epoch": 0.03098927294398093, "percentage": 52.0, "elapsed_time": "0:13:47", "remaining_time": "0:12:43"}
|
27 |
+
{"current_steps": 27, "total_steps": 50, "loss": 1.9977, "lr": 9.039769740923183e-06, "epoch": 0.03218116805721097, "percentage": 54.0, "elapsed_time": "0:14:18", "remaining_time": "0:12:11"}
|
28 |
+
{"current_steps": 28, "total_steps": 50, "loss": 2.0056, "lr": 8.404001049666211e-06, "epoch": 0.033373063170441, "percentage": 56.0, "elapsed_time": "0:14:50", "remaining_time": "0:11:39"}
|
29 |
+
{"current_steps": 29, "total_steps": 50, "loss": 1.9724, "lr": 7.774790660436857e-06, "epoch": 0.03456495828367104, "percentage": 58.0, "elapsed_time": "0:15:22", "remaining_time": "0:11:07"}
|
30 |
+
{"current_steps": 30, "total_steps": 50, "loss": 1.9487, "lr": 7.154724133689677e-06, "epoch": 0.03575685339690107, "percentage": 60.0, "elapsed_time": "0:15:54", "remaining_time": "0:10:36"}
|
31 |
+
{"current_steps": 31, "total_steps": 50, "loss": 1.9871, "lr": 6.546349455786926e-06, "epoch": 0.03694874851013111, "percentage": 62.0, "elapsed_time": "0:16:25", "remaining_time": "0:10:04"}
|
32 |
+
{"current_steps": 32, "total_steps": 50, "loss": 2.0023, "lr": 5.952166568776062e-06, "epoch": 0.03814064362336114, "percentage": 64.0, "elapsed_time": "0:16:57", "remaining_time": "0:09:32"}
|
33 |
+
{"current_steps": 33, "total_steps": 50, "loss": 1.9781, "lr": 5.37461709759165e-06, "epoch": 0.03933253873659118, "percentage": 66.0, "elapsed_time": "0:17:29", "remaining_time": "0:09:00"}
|
34 |
+
{"current_steps": 34, "total_steps": 50, "loss": 2.0167, "lr": 4.81607431689475e-06, "epoch": 0.04052443384982122, "percentage": 68.0, "elapsed_time": "0:18:00", "remaining_time": "0:08:28"}
|
35 |
+
{"current_steps": 35, "total_steps": 50, "loss": 2.0014, "lr": 4.278833398778306e-06, "epoch": 0.041716328963051254, "percentage": 70.0, "elapsed_time": "0:18:32", "remaining_time": "0:07:56"}
|
36 |
+
{"current_steps": 36, "total_steps": 50, "loss": 2.0307, "lr": 3.7651019814126656e-06, "epoch": 0.04290822407628129, "percentage": 72.0, "elapsed_time": "0:19:04", "remaining_time": "0:07:25"}
|
37 |
+
{"current_steps": 37, "total_steps": 50, "loss": 1.9922, "lr": 3.2769910973868314e-06, "epoch": 0.04410011918951132, "percentage": 74.0, "elapsed_time": "0:19:36", "remaining_time": "0:06:53"}
|
38 |
+
{"current_steps": 38, "total_steps": 50, "loss": 2.009, "lr": 2.8165064990227255e-06, "epoch": 0.04529201430274136, "percentage": 76.0, "elapsed_time": "0:20:07", "remaining_time": "0:06:21"}
|
39 |
+
{"current_steps": 39, "total_steps": 50, "loss": 2.0069, "lr": 2.3855404163086558e-06, "epoch": 0.04648390941597139, "percentage": 78.0, "elapsed_time": "0:20:39", "remaining_time": "0:05:49"}
|
40 |
+
{"current_steps": 40, "total_steps": 50, "loss": 1.9649, "lr": 1.9858637813204352e-06, "epoch": 0.04767580452920143, "percentage": 80.0, "elapsed_time": "0:21:11", "remaining_time": "0:05:17"}
|
41 |
+
{"current_steps": 41, "total_steps": 50, "loss": 1.988, "lr": 1.6191189510815942e-06, "epoch": 0.04886769964243146, "percentage": 82.0, "elapsed_time": "0:21:42", "remaining_time": "0:04:46"}
|
42 |
+
{"current_steps": 42, "total_steps": 50, "loss": 1.9493, "lr": 1.286812958766106e-06, "epoch": 0.050059594755661505, "percentage": 84.0, "elapsed_time": "0:22:14", "remaining_time": "0:04:14"}
|
43 |
+
{"current_steps": 43, "total_steps": 50, "loss": 1.9827, "lr": 9.903113209758098e-07, "epoch": 0.05125148986889154, "percentage": 86.0, "elapsed_time": "0:22:46", "remaining_time": "0:03:42"}
|
44 |
+
{"current_steps": 44, "total_steps": 50, "loss": 2.0005, "lr": 7.308324265397837e-07, "epoch": 0.052443384982121574, "percentage": 88.0, "elapsed_time": "0:23:18", "remaining_time": "0:03:10"}
|
45 |
+
{"current_steps": 45, "total_steps": 50, "loss": 1.9962, "lr": 5.094425298933136e-07, "epoch": 0.05363528009535161, "percentage": 90.0, "elapsed_time": "0:23:49", "remaining_time": "0:02:38"}
|
46 |
+
{"current_steps": 46, "total_steps": 50, "loss": 2.0125, "lr": 3.2705136960970554e-07, "epoch": 0.054827175208581644, "percentage": 92.0, "elapsed_time": "0:24:21", "remaining_time": "0:02:07"}
|
47 |
+
{"current_steps": 47, "total_steps": 50, "loss": 1.9917, "lr": 1.844084300893456e-07, "epoch": 0.05601907032181168, "percentage": 94.0, "elapsed_time": "0:24:53", "remaining_time": "0:01:35"}
|
48 |
+
{"current_steps": 48, "total_steps": 50, "loss": 1.9941, "lr": 8.209986176753947e-08, "epoch": 0.057210965435041714, "percentage": 96.0, "elapsed_time": "0:25:25", "remaining_time": "0:01:03"}
|
49 |
+
{"current_steps": 49, "total_steps": 50, "loss": 1.9912, "lr": 2.054607249663665e-08, "epoch": 0.058402860548271755, "percentage": 98.0, "elapsed_time": "0:25:56", "remaining_time": "0:00:31"}
|
50 |
+
{"current_steps": 50, "total_steps": 50, "loss": 2.0301, "lr": 0.0, "epoch": 0.05959475566150179, "percentage": 100.0, "elapsed_time": "0:26:28", "remaining_time": "0:00:00"}
|
51 |
+
{"current_steps": 50, "total_steps": 50, "epoch": 0.05959475566150179, "percentage": 100.0, "elapsed_time": "0:26:36", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.05959475566150179,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 50,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0011918951132300357,
|
13 |
+
"grad_norm": 2.9031435226589246,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 2.1072,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0023837902264600714,
|
20 |
+
"grad_norm": 2.7150248182983923,
|
21 |
+
"learning_rate": 1.9979453927503366e-05,
|
22 |
+
"loss": 2.101,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.003575685339690107,
|
27 |
+
"grad_norm": 1.6481585515596062,
|
28 |
+
"learning_rate": 1.991790013823246e-05,
|
29 |
+
"loss": 2.0284,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.004767580452920143,
|
34 |
+
"grad_norm": 2.290158944264602,
|
35 |
+
"learning_rate": 1.9815591569910654e-05,
|
36 |
+
"loss": 2.0343,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.0059594755661501785,
|
41 |
+
"grad_norm": 1.620010410362664,
|
42 |
+
"learning_rate": 1.9672948630390296e-05,
|
43 |
+
"loss": 2.022,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.007151370679380214,
|
48 |
+
"grad_norm": 1.2963689571694739,
|
49 |
+
"learning_rate": 1.949055747010669e-05,
|
50 |
+
"loss": 2.0615,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.00834326579261025,
|
55 |
+
"grad_norm": 1.1986327536123562,
|
56 |
+
"learning_rate": 1.926916757346022e-05,
|
57 |
+
"loss": 2.0193,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.009535160905840286,
|
62 |
+
"grad_norm": 0.7287087756055839,
|
63 |
+
"learning_rate": 1.900968867902419e-05,
|
64 |
+
"loss": 1.9835,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.010727056019070322,
|
69 |
+
"grad_norm": 0.7584838316893223,
|
70 |
+
"learning_rate": 1.8713187041233896e-05,
|
71 |
+
"loss": 2.0048,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.011918951132300357,
|
76 |
+
"grad_norm": 0.6198276917269713,
|
77 |
+
"learning_rate": 1.8380881048918406e-05,
|
78 |
+
"loss": 1.9825,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.013110846245530394,
|
83 |
+
"grad_norm": 0.46373328707102957,
|
84 |
+
"learning_rate": 1.8014136218679566e-05,
|
85 |
+
"loss": 1.9862,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.014302741358760428,
|
90 |
+
"grad_norm": 0.5577755717812845,
|
91 |
+
"learning_rate": 1.7614459583691346e-05,
|
92 |
+
"loss": 1.9776,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.015494636471990465,
|
97 |
+
"grad_norm": 0.5939670606164611,
|
98 |
+
"learning_rate": 1.7183493500977277e-05,
|
99 |
+
"loss": 1.9674,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.0166865315852205,
|
104 |
+
"grad_norm": 0.4628705732184792,
|
105 |
+
"learning_rate": 1.672300890261317e-05,
|
106 |
+
"loss": 1.9734,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.017878426698450536,
|
111 |
+
"grad_norm": 0.485766773190629,
|
112 |
+
"learning_rate": 1.6234898018587336e-05,
|
113 |
+
"loss": 1.9846,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.01907032181168057,
|
118 |
+
"grad_norm": 0.5223550727317597,
|
119 |
+
"learning_rate": 1.5721166601221697e-05,
|
120 |
+
"loss": 1.9647,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.02026221692491061,
|
125 |
+
"grad_norm": 0.4433368830898489,
|
126 |
+
"learning_rate": 1.5183925683105254e-05,
|
127 |
+
"loss": 1.9842,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.021454112038140644,
|
132 |
+
"grad_norm": 0.3532051409411447,
|
133 |
+
"learning_rate": 1.4625382902408356e-05,
|
134 |
+
"loss": 1.9792,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.02264600715137068,
|
139 |
+
"grad_norm": 0.3750713272673884,
|
140 |
+
"learning_rate": 1.4047833431223938e-05,
|
141 |
+
"loss": 1.992,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.023837902264600714,
|
146 |
+
"grad_norm": 0.3478672288559764,
|
147 |
+
"learning_rate": 1.3453650544213078e-05,
|
148 |
+
"loss": 2.0017,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.025029797377830752,
|
153 |
+
"grad_norm": 0.3124495293347313,
|
154 |
+
"learning_rate": 1.2845275866310325e-05,
|
155 |
+
"loss": 1.9654,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.026221692491060787,
|
160 |
+
"grad_norm": 0.30827848535728997,
|
161 |
+
"learning_rate": 1.2225209339563144e-05,
|
162 |
+
"loss": 1.9742,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.027413587604290822,
|
167 |
+
"grad_norm": 0.3531950759587543,
|
168 |
+
"learning_rate": 1.1595998950333794e-05,
|
169 |
+
"loss": 1.9899,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.028605482717520857,
|
174 |
+
"grad_norm": 0.3222872371524797,
|
175 |
+
"learning_rate": 1.0960230259076819e-05,
|
176 |
+
"loss": 1.982,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.029797377830750895,
|
181 |
+
"grad_norm": 0.28066157317874146,
|
182 |
+
"learning_rate": 1.0320515775716556e-05,
|
183 |
+
"loss": 1.989,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.03098927294398093,
|
188 |
+
"grad_norm": 0.28664391299284936,
|
189 |
+
"learning_rate": 9.67948422428345e-06,
|
190 |
+
"loss": 1.9926,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.03218116805721097,
|
195 |
+
"grad_norm": 0.32690441539002585,
|
196 |
+
"learning_rate": 9.039769740923183e-06,
|
197 |
+
"loss": 1.9977,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.033373063170441,
|
202 |
+
"grad_norm": 0.26400158066485074,
|
203 |
+
"learning_rate": 8.404001049666211e-06,
|
204 |
+
"loss": 2.0056,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.03456495828367104,
|
209 |
+
"grad_norm": 0.23533776552109373,
|
210 |
+
"learning_rate": 7.774790660436857e-06,
|
211 |
+
"loss": 1.9724,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.03575685339690107,
|
216 |
+
"grad_norm": 0.22178984088070275,
|
217 |
+
"learning_rate": 7.154724133689677e-06,
|
218 |
+
"loss": 1.9487,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.03694874851013111,
|
223 |
+
"grad_norm": 0.23840728595761607,
|
224 |
+
"learning_rate": 6.546349455786926e-06,
|
225 |
+
"loss": 1.9871,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.03814064362336114,
|
230 |
+
"grad_norm": 0.2270923288108359,
|
231 |
+
"learning_rate": 5.952166568776062e-06,
|
232 |
+
"loss": 2.0023,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.03933253873659118,
|
237 |
+
"grad_norm": 0.21128333879501035,
|
238 |
+
"learning_rate": 5.37461709759165e-06,
|
239 |
+
"loss": 1.9781,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.04052443384982122,
|
244 |
+
"grad_norm": 0.20025698249162766,
|
245 |
+
"learning_rate": 4.81607431689475e-06,
|
246 |
+
"loss": 2.0167,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.041716328963051254,
|
251 |
+
"grad_norm": 0.19545125950438635,
|
252 |
+
"learning_rate": 4.278833398778306e-06,
|
253 |
+
"loss": 2.0014,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.04290822407628129,
|
258 |
+
"grad_norm": 0.21003372321244757,
|
259 |
+
"learning_rate": 3.7651019814126656e-06,
|
260 |
+
"loss": 2.0307,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.04410011918951132,
|
265 |
+
"grad_norm": 0.20875875072814898,
|
266 |
+
"learning_rate": 3.2769910973868314e-06,
|
267 |
+
"loss": 1.9922,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.04529201430274136,
|
272 |
+
"grad_norm": 0.20086863185331044,
|
273 |
+
"learning_rate": 2.8165064990227255e-06,
|
274 |
+
"loss": 2.009,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.04648390941597139,
|
279 |
+
"grad_norm": 0.19637651354676247,
|
280 |
+
"learning_rate": 2.3855404163086558e-06,
|
281 |
+
"loss": 2.0069,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.04767580452920143,
|
286 |
+
"grad_norm": 0.19298356773047148,
|
287 |
+
"learning_rate": 1.9858637813204352e-06,
|
288 |
+
"loss": 1.9649,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.04886769964243146,
|
293 |
+
"grad_norm": 0.18616123249372152,
|
294 |
+
"learning_rate": 1.6191189510815942e-06,
|
295 |
+
"loss": 1.988,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.050059594755661505,
|
300 |
+
"grad_norm": 0.17608440957049246,
|
301 |
+
"learning_rate": 1.286812958766106e-06,
|
302 |
+
"loss": 1.9493,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.05125148986889154,
|
307 |
+
"grad_norm": 0.17839806165567934,
|
308 |
+
"learning_rate": 9.903113209758098e-07,
|
309 |
+
"loss": 1.9827,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.052443384982121574,
|
314 |
+
"grad_norm": 0.171992208968052,
|
315 |
+
"learning_rate": 7.308324265397837e-07,
|
316 |
+
"loss": 2.0005,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.05363528009535161,
|
321 |
+
"grad_norm": 0.20157026593925115,
|
322 |
+
"learning_rate": 5.094425298933136e-07,
|
323 |
+
"loss": 1.9962,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.054827175208581644,
|
328 |
+
"grad_norm": 0.17529676457850735,
|
329 |
+
"learning_rate": 3.2705136960970554e-07,
|
330 |
+
"loss": 2.0125,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.05601907032181168,
|
335 |
+
"grad_norm": 0.1769836489001342,
|
336 |
+
"learning_rate": 1.844084300893456e-07,
|
337 |
+
"loss": 1.9917,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.057210965435041714,
|
342 |
+
"grad_norm": 0.17274305549148233,
|
343 |
+
"learning_rate": 8.209986176753947e-08,
|
344 |
+
"loss": 1.9941,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.058402860548271755,
|
349 |
+
"grad_norm": 0.1777317862287471,
|
350 |
+
"learning_rate": 2.054607249663665e-08,
|
351 |
+
"loss": 1.9912,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.05959475566150179,
|
356 |
+
"grad_norm": 0.17680142652753666,
|
357 |
+
"learning_rate": 0.0,
|
358 |
+
"loss": 2.0301,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.05959475566150179,
|
363 |
+
"step": 50,
|
364 |
+
"total_flos": 106890730143744.0,
|
365 |
+
"train_loss": 1.9979763078689574,
|
366 |
+
"train_runtime": 1596.1705,
|
367 |
+
"train_samples_per_second": 58.139,
|
368 |
+
"train_steps_per_second": 0.031
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 1,
|
372 |
+
"max_steps": 50,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 50,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": true,
|
383 |
+
"should_training_stop": true
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 106890730143744.0,
|
389 |
+
"train_batch_size": 58,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b187f08a9250c53419936909c7d1b21981cac2e57ac1118501185306c3fc8f5
|
3 |
+
size 7224
|
training_loss.png
ADDED