Uploading /ephemeral/hossein/output/prog-y-tiny-llama-CDL-13
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/Nov25_17-20-05_creative-turing-2/events.out.tfevents.1732555401.creative-turing-2.1389746.0 +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
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---
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library_name: transformers
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license: other
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base_model: TinyLlama/TinyLlama_v1.1
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: progressive-yoco-tiny-llama-CDL-13
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# progressive-yoco-tiny-llama-CDL-13
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This model is a fine-tuned version of [/ephemeral/hossein/output/progressive-yoco-tiny-llama-CDL-14](https://huggingface.co//ephemeral/hossein/output/progressive-yoco-tiny-llama-CDL-14) on the reformatted_ultrachat_200k, the reformatted_MathInstruct and the small_slim_pajama datasets.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 42
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 2016
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.005
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- training_steps: 150
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### Training results
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 0.19745502413339183,
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"total_flos": 349677715193856.0,
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"train_loss": 1.9023579597473144,
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"train_runtime": 5206.9725,
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"train_samples_per_second": 58.076,
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"train_steps_per_second": 0.029
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}
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config.json
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{"_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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.45.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:39ec69c86032a291e3286bc2329ce8ac3f7b1d2c1739beb81b90e6bb1ed6412d
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size 2191734544
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runs/Nov25_17-20-05_creative-turing-2/events.out.tfevents.1732555401.creative-turing-2.1389746.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:e6ea6729393c43fe6af71d096cef30ec07ced75bdee97e33bbf8fcff21619c27
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size 36911
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"pad_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"split_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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"epoch": 0.19745502413339183,
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"total_flos": 349677715193856.0,
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"train_loss": 1.9023579597473144,
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"train_runtime": 5206.9725,
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"train_samples_per_second": 58.076,
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"train_steps_per_second": 0.029
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}
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trainer_log.jsonl
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{"current_steps": 1, "total_steps": 150, "loss": 1.7198, "lr": 2e-05, "epoch": 0.0013163668275559457, "percentage": 0.67, "elapsed_time": "0:00:37", "remaining_time": "1:34:12"}
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{"current_steps": 2, "total_steps": 150, "loss": 1.6832, "lr": 1.999777729859618e-05, "epoch": 0.0026327336551118913, "percentage": 1.33, "elapsed_time": "0:01:12", "remaining_time": "1:28:52"}
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{"current_steps": 3, "total_steps": 150, "loss": 2.0103, "lr": 1.9991110182465032e-05, "epoch": 0.003949100482667837, "percentage": 2.0, "elapsed_time": "0:01:46", "remaining_time": "1:26:51"}
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{"current_steps": 4, "total_steps": 150, "loss": 1.9925, "lr": 1.9980001615408228e-05, "epoch": 0.005265467310223783, "percentage": 2.67, "elapsed_time": "0:02:20", "remaining_time": "1:25:37"}
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{"current_steps": 5, "total_steps": 150, "loss": 1.9331, "lr": 1.9964456535631287e-05, "epoch": 0.006581834137779728, "percentage": 3.33, "elapsed_time": "0:02:55", "remaining_time": "1:24:40"}
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{"current_steps": 6, "total_steps": 150, "loss": 1.9008, "lr": 1.9944481853548335e-05, "epoch": 0.007898200965335674, "percentage": 4.0, "elapsed_time": "0:03:29", "remaining_time": "1:23:52"}
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{"current_steps": 7, "total_steps": 150, "loss": 1.8566, "lr": 1.9920086448710162e-05, "epoch": 0.009214567792891619, "percentage": 4.67, "elapsed_time": "0:04:04", "remaining_time": "1:23:08"}
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|
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|
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|
| 93 |
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| 94 |
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|
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|
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|
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|
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|
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|
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|
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|
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| 115 |
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|
| 117 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 138 |
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| 139 |
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| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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{"current_steps": 148, "total_steps": 150, "loss": 1.986, "lr": 8.889817534969425e-09, "epoch": 0.19482229047827995, "percentage": 98.67, "elapsed_time": "1:25:28", "remaining_time": "0:01:09"}
|
| 149 |
+
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|
| 150 |
+
{"current_steps": 150, "total_steps": 150, "loss": 1.9865, "lr": 0.0, "epoch": 0.19745502413339183, "percentage": 100.0, "elapsed_time": "1:26:37", "remaining_time": "0:00:00"}
|
| 151 |
+
{"current_steps": 150, "total_steps": 150, "epoch": 0.19745502413339183, "percentage": 100.0, "elapsed_time": "1:26:46", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1092 @@
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|
| 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": 1.6684012713309793,
|
| 14 |
+
"learning_rate": 2e-05,
|
| 15 |
+
"loss": 1.7198,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0026327336551118913,
|
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