Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- chat_template.json +3 -0
- config.json +50 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +736 -0
- preprocessor_config.json +29 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +210 -0
- train_results.json +8 -0
- trainer_log.jsonl +133 -0
- trainer_state.json +2022 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
- vocab.json +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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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: THU-KEG/LongWriter-V-7B
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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: LongWriter-V-7B-DPO
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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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# LongWriter-V-7B-DPO
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This model is a fine-tuned version of [THU-KEG/LongWriter-V-7B](https://huggingface.co/THU-KEG/LongWriter-V-7B) on the LongWriter-V-DPO dataset.
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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: 3e-06
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- train_batch_size: 1
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- eval_batch_size: 8
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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: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.49.0.dev0
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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| 21 |
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"<|vision_end|>": 151653,
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| 22 |
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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all_results.json
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{
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| 2 |
+
"epoch": 2.943820224719101,
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| 3 |
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"total_flos": 228521444442112.0,
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| 4 |
+
"train_loss": 0.17045999738028772,
|
| 5 |
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"train_runtime": 5166.54,
|
| 6 |
+
"train_samples_per_second": 1.651,
|
| 7 |
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"train_steps_per_second": 0.026
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}
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chat_template.json
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{
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
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}
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config.json
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{
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"_name_or_path": "THU-KEG/LongWriter-V-7B",
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| 3 |
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"architectures": [
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| 4 |
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"Qwen2_5_VLForConditionalGeneration"
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| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
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| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 3584,
|
| 11 |
+
"image_token_id": 151655,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 18944,
|
| 14 |
+
"max_position_embeddings": 128000,
|
| 15 |
+
"max_window_layers": 28,
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| 16 |
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"model_type": "qwen2_5_vl",
|
| 17 |
+
"num_attention_heads": 28,
|
| 18 |
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"num_hidden_layers": 28,
|
| 19 |
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"num_key_value_heads": 4,
|
| 20 |
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"rms_norm_eps": 1e-06,
|
| 21 |
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"rope_scaling": {
|
| 22 |
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"mrope_section": [
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| 23 |
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16,
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24,
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24
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],
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| 27 |
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"rope_type": "default",
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| 28 |
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"type": "default"
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},
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| 30 |
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"rope_theta": 1000000.0,
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| 31 |
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"sliding_window": 32768,
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| 32 |
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"tie_word_embeddings": false,
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| 33 |
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"torch_dtype": "bfloat16",
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| 34 |
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"transformers_version": "4.49.0.dev0",
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| 35 |
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"use_cache": false,
|
| 36 |
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"use_sliding_window": false,
|
| 37 |
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"video_token_id": 151656,
|
| 38 |
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"vision_config": {
|
| 39 |
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"hidden_size": 1280,
|
| 40 |
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"in_chans": 3,
|
| 41 |
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"model_type": "qwen2_5_vl",
|
| 42 |
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"spatial_patch_size": 14,
|
| 43 |
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"tokens_per_second": 2,
|
| 44 |
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"torch_dtype": "float32"
|
| 45 |
+
},
|
| 46 |
+
"vision_end_token_id": 151653,
|
| 47 |
+
"vision_start_token_id": 151652,
|
| 48 |
+
"vision_token_id": 151654,
|
| 49 |
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"vocab_size": 152064
|
| 50 |
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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| 5 |
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151645,
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| 6 |
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151643
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],
|
| 8 |
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"pad_token_id": 151643,
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| 9 |
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"repetition_penalty": 1.05,
|
| 10 |
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"temperature": 0.1,
|
| 11 |
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"top_k": 1,
|
| 12 |
+
"top_p": 0.001,
|
| 13 |
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"transformers_version": "4.49.0.dev0"
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| 14 |
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4968243304
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model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00004-of-00004.safetensors
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model.safetensors.index.json
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preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
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|
| 1 |
+
{
|
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"do_convert_rgb": true,
|
| 3 |
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"do_normalize": true,
|
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"do_rescale": true,
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|
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"patch_size": 14,
|
| 21 |
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"processor_class": "Qwen2_5_VLProcessor",
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| 22 |
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|
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|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
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|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
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|
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|
| 1 |
+
{
|
| 2 |
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"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
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| 5 |
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"<|object_ref_start|>",
|
| 6 |
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"<|object_ref_end|>",
|
| 7 |
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"<|box_start|>",
|
| 8 |
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|
| 9 |
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"<|quad_start|>",
|
| 10 |
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"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
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"<|vision_end|>",
|
| 13 |
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"<|vision_pad|>",
|
| 14 |
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"<|image_pad|>",
|
| 15 |
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"<|video_pad|>"
|
| 16 |
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],
|
| 17 |
+
"eos_token": {
|
| 18 |
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"content": "<|im_end|>",
|
| 19 |
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"lstrip": false,
|
| 20 |
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"normalized": false,
|
| 21 |
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"rstrip": false,
|
| 22 |
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"single_word": false
|
| 23 |
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},
|
| 24 |
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"pad_token": {
|
| 25 |
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"content": "<|endoftext|>",
|
| 26 |
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"lstrip": false,
|
| 27 |
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"normalized": false,
|
| 28 |
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"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
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|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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| 3 |
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size 11421896
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tokenizer_config.json
ADDED
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@@ -0,0 +1,210 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
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"content": "<|quad_start|>",
|
| 63 |
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"lstrip": false,
|
| 64 |
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"normalized": false,
|
| 65 |
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"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
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"rstrip": false,
|
| 74 |
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"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
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"content": "<|vision_start|>",
|
| 79 |
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"lstrip": false,
|
| 80 |
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"normalized": false,
|
| 81 |
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"rstrip": false,
|
| 82 |
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"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
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"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
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"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
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"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|im_end|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 32768,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "right",
|
| 206 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 207 |
+
"split_special_tokens": false,
|
| 208 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 209 |
+
"unk_token": null
|
| 210 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.943820224719101,
|
| 3 |
+
"total_flos": 228521444442112.0,
|
| 4 |
+
"train_loss": 0.17045999738028772,
|
| 5 |
+
"train_runtime": 5166.54,
|
| 6 |
+
"train_samples_per_second": 1.651,
|
| 7 |
+
"train_steps_per_second": 0.026
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,133 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
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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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|
|
|
|
|
| 1 |
+
{"current_steps": 1, "total_steps": 132, "loss": 0.6931, "accuracy": 0.0, "lr": 2.1428571428571428e-07, "epoch": 0.02247191011235955, "percentage": 0.76, "elapsed_time": "0:00:57", "remaining_time": "2:04:55"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 132, "loss": 0.6931, "accuracy": 0.0, "lr": 4.2857142857142857e-07, "epoch": 0.0449438202247191, "percentage": 1.52, "elapsed_time": "0:01:46", "remaining_time": "1:55:00"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 132, "loss": 0.9204, "accuracy": 0.46875, "lr": 6.428571428571428e-07, "epoch": 0.06741573033707865, "percentage": 2.27, "elapsed_time": "0:02:22", "remaining_time": "1:42:27"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 132, "loss": 0.6588, "accuracy": 0.546875, "lr": 8.571428571428571e-07, "epoch": 0.0898876404494382, "percentage": 3.03, "elapsed_time": "0:03:00", "remaining_time": "1:36:15"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 132, "loss": 0.5615, "accuracy": 0.6875, "lr": 1.0714285714285716e-06, "epoch": 0.11235955056179775, "percentage": 3.79, "elapsed_time": "0:03:38", "remaining_time": "1:32:19"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 132, "loss": 0.5469, "accuracy": 0.71875, "lr": 1.2857142857142856e-06, "epoch": 0.1348314606741573, "percentage": 4.55, "elapsed_time": "0:04:20", "remaining_time": "1:31:03"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 132, "loss": 0.4709, "accuracy": 0.734375, "lr": 1.5e-06, "epoch": 0.15730337078651685, "percentage": 5.3, "elapsed_time": "0:05:00", "remaining_time": "1:29:27"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 132, "loss": 0.396, "accuracy": 0.75, "lr": 1.7142857142857143e-06, "epoch": 0.1797752808988764, "percentage": 6.06, "elapsed_time": "0:05:38", "remaining_time": "1:27:34"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 132, "loss": 0.448, "accuracy": 0.71875, "lr": 1.928571428571429e-06, "epoch": 0.20224719101123595, "percentage": 6.82, "elapsed_time": "0:06:15", "remaining_time": "1:25:31"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 132, "loss": 0.3618, "accuracy": 0.765625, "lr": 2.142857142857143e-06, "epoch": 0.2247191011235955, "percentage": 7.58, "elapsed_time": "0:06:52", "remaining_time": "1:23:53"}
|
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| 89 |
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|
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|
| 92 |
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{"current_steps": 92, "total_steps": 132, "loss": 0.0, "accuracy": 1.0, "lr": 7.731736945010249e-07, "epoch": 2.044943820224719, "percentage": 69.7, "elapsed_time": "0:59:30", "remaining_time": "0:25:52"}
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| 93 |
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|
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|
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|
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| 121 |
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| 123 |
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|
| 125 |
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{"current_steps": 125, "total_steps": 132, "loss": 0.0002, "accuracy": 1.0, "lr": 2.5973813111218548e-08, "epoch": 2.7865168539325844, "percentage": 94.7, "elapsed_time": "1:20:55", "remaining_time": "0:04:31"}
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| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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{"current_steps": 130, "total_steps": 132, "loss": 0.0, "accuracy": 1.0, "lr": 2.1259564848570834e-09, "epoch": 2.898876404494382, "percentage": 98.48, "elapsed_time": "1:24:08", "remaining_time": "0:01:17"}
|
| 131 |
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| 132 |
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|
| 133 |
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{"current_steps": 132, "total_steps": 132, "epoch": 2.943820224719101, "percentage": 100.0, "elapsed_time": "1:26:04", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2022 @@
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| 1 |
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vocab.json
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