psp_dada
commited on
Commit
·
5486566
1
Parent(s):
5776a50
add file
Browse files- .gitattributes +1 -0
- README.md +61 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +16 -0
- all_results.json +8 -0
- chat_template.json +3 -0
- merges.txt +0 -0
- preprocessor_config.json +29 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +144 -0
- train_results.json +8 -0
- trainer_log.jsonl +157 -0
- trainer_state.json +2382 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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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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*.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: peft
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license: other
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base_model: /data2/zhuotaotian/psp/llm/utils/models/repo/Qwen2-VL-2B-Instruct
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: Qwen2_VL_2B_Instruct_explore_normal+_6k_removed_2e_6
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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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# Qwen2_VL_2B_Instruct_explore_normal+_6k_removed_2e_6
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This model is a fine-tuned version of [/data2/zhuotaotian/psp/llm/utils/models/repo/Qwen2-VL-2B-Instruct](https://huggingface.co//data2/zhuotaotian/psp/llm/utils/models/repo/Qwen2-VL-2B-Instruct) on the Qwen2_VL_2B_12k 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: 2e-06
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- train_batch_size: 4
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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: 2
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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: 16
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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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- num_epochs: 1.0
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.46.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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adapter_config.json
ADDED
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/psp/llm/utils/models/repo/Qwen2-VL-2B-Instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 256,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": "^(?!.*visual.patch_embed|visual.blocks).*(?:down_proj|o_proj|gate_proj|v_proj|q_proj|up_proj|k_proj).*",
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c89a622bd285c45d481d64eb531bec6898253b72740028c67bcd6d55f295b6e2
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size 295489720
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added_tokens.json
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{
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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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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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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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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"epoch": 0.9984,
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"total_flos": 1.3247622626987213e+17,
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"train_loss": 0.641177637836872,
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"train_runtime": 1617.7217,
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"train_samples_per_second": 6.182,
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"train_steps_per_second": 0.096
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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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merges.txt
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The diff for this file is too large to render.
See raw diff
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preprocessor_config.json
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{
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "Qwen2VLImageProcessor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"max_pixels": 12845056,
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"merge_size": 2,
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"min_pixels": 3136,
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"patch_size": 14,
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"processor_class": "Qwen2VLProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"max_pixels": 12845056,
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"min_pixels": 3136
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},
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"temporal_patch_size": 2
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}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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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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"pad_token": {
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"content": "<|endoftext|>",
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
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size 11420371
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
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"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"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 %}",
|
| 134 |
+
"clean_up_tokenization_spaces": false,
|
| 135 |
+
"eos_token": "<|im_end|>",
|
| 136 |
+
"errors": "replace",
|
| 137 |
+
"model_max_length": 4096,
|
| 138 |
+
"pad_token": "<|endoftext|>",
|
| 139 |
+
"padding_side": "right",
|
| 140 |
+
"processor_class": "Qwen2VLProcessor",
|
| 141 |
+
"split_special_tokens": false,
|
| 142 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 143 |
+
"unk_token": null
|
| 144 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.9984,
|
| 3 |
+
"total_flos": 1.3247622626987213e+17,
|
| 4 |
+
"train_loss": 0.641177637836872,
|
| 5 |
+
"train_runtime": 1617.7217,
|
| 6 |
+
"train_samples_per_second": 6.182,
|
| 7 |
+
"train_steps_per_second": 0.096
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,157 @@
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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": 156, "loss": 0.6931, "accuracy": 0.0, "lr": 1.9997972289848503e-06, "epoch": 0.0064, "percentage": 0.64, "elapsed_time": "0:00:10", "remaining_time": "0:27:31"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 156, "loss": 0.6929, "accuracy": 0.46875, "lr": 1.9991889981715695e-06, "epoch": 0.0128, "percentage": 1.28, "elapsed_time": "0:00:20", "remaining_time": "0:26:06"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 156, "loss": 0.6937, "accuracy": 0.40625, "lr": 1.9981755542233175e-06, "epoch": 0.0192, "percentage": 1.92, "elapsed_time": "0:00:30", "remaining_time": "0:26:20"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 156, "loss": 0.6928, "accuracy": 0.421875, "lr": 1.99675730813421e-06, "epoch": 0.0256, "percentage": 2.56, "elapsed_time": "0:00:41", "remaining_time": "0:26:12"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 156, "loss": 0.6934, "accuracy": 0.484375, "lr": 1.9949348350626453e-06, "epoch": 0.032, "percentage": 3.21, "elapsed_time": "0:00:51", "remaining_time": "0:26:07"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 156, "loss": 0.6941, "accuracy": 0.390625, "lr": 1.9927088740980536e-06, "epoch": 0.0384, "percentage": 3.85, "elapsed_time": "0:01:02", "remaining_time": "0:25:53"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 156, "loss": 0.6914, "accuracy": 0.546875, "lr": 1.990080327961164e-06, "epoch": 0.0448, "percentage": 4.49, "elapsed_time": "0:01:12", "remaining_time": "0:25:39"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 156, "loss": 0.691, "accuracy": 0.515625, "lr": 1.9870502626379126e-06, "epoch": 0.0512, "percentage": 5.13, "elapsed_time": "0:01:22", "remaining_time": "0:25:32"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 156, "loss": 0.6916, "accuracy": 0.53125, "lr": 1.9836199069471437e-06, "epoch": 0.0576, "percentage": 5.77, "elapsed_time": "0:01:32", "remaining_time": "0:25:14"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 156, "loss": 0.6907, "accuracy": 0.484375, "lr": 1.9797906520422674e-06, "epoch": 0.064, "percentage": 6.41, "elapsed_time": "0:01:43", "remaining_time": "0:25:06"}
|
| 11 |
+
{"current_steps": 11, "total_steps": 156, "loss": 0.6901, "accuracy": 0.5625, "lr": 1.975564050847094e-06, "epoch": 0.0704, "percentage": 7.05, "elapsed_time": "0:01:53", "remaining_time": "0:24:53"}
|
| 12 |
+
{"current_steps": 12, "total_steps": 156, "loss": 0.6861, "accuracy": 0.5625, "lr": 1.970941817426052e-06, "epoch": 0.0768, "percentage": 7.69, "elapsed_time": "0:02:03", "remaining_time": "0:24:38"}
|
| 13 |
+
{"current_steps": 13, "total_steps": 156, "loss": 0.6907, "accuracy": 0.53125, "lr": 1.965925826289068e-06, "epoch": 0.0832, "percentage": 8.33, "elapsed_time": "0:02:13", "remaining_time": "0:24:28"}
|
| 14 |
+
{"current_steps": 14, "total_steps": 156, "loss": 0.6846, "accuracy": 0.625, "lr": 1.9605181116313723e-06, "epoch": 0.0896, "percentage": 8.97, "elapsed_time": "0:02:24", "remaining_time": "0:24:21"}
|
| 15 |
+
{"current_steps": 15, "total_steps": 156, "loss": 0.6893, "accuracy": 0.5, "lr": 1.9547208665085457e-06, "epoch": 0.096, "percentage": 9.62, "elapsed_time": "0:02:34", "remaining_time": "0:24:15"}
|
| 16 |
+
{"current_steps": 16, "total_steps": 156, "loss": 0.69, "accuracy": 0.46875, "lr": 1.9485364419471455e-06, "epoch": 0.1024, "percentage": 10.26, "elapsed_time": "0:02:45", "remaining_time": "0:24:03"}
|
| 17 |
+
{"current_steps": 17, "total_steps": 156, "loss": 0.686, "accuracy": 0.546875, "lr": 1.9419673459912647e-06, "epoch": 0.1088, "percentage": 10.9, "elapsed_time": "0:02:55", "remaining_time": "0:23:55"}
|
| 18 |
+
{"current_steps": 18, "total_steps": 156, "loss": 0.6765, "accuracy": 0.671875, "lr": 1.9350162426854148e-06, "epoch": 0.1152, "percentage": 11.54, "elapsed_time": "0:03:06", "remaining_time": "0:23:46"}
|
| 19 |
+
{"current_steps": 19, "total_steps": 156, "loss": 0.6808, "accuracy": 0.578125, "lr": 1.927685950994143e-06, "epoch": 0.1216, "percentage": 12.18, "elapsed_time": "0:03:16", "remaining_time": "0:23:38"}
|
| 20 |
+
{"current_steps": 20, "total_steps": 156, "loss": 0.6823, "accuracy": 0.640625, "lr": 1.9199794436588242e-06, "epoch": 0.128, "percentage": 12.82, "elapsed_time": "0:03:27", "remaining_time": "0:23:31"}
|
| 21 |
+
{"current_steps": 21, "total_steps": 156, "loss": 0.6839, "accuracy": 0.578125, "lr": 1.91189984599209e-06, "epoch": 0.1344, "percentage": 13.46, "elapsed_time": "0:03:37", "remaining_time": "0:23:19"}
|
| 22 |
+
{"current_steps": 22, "total_steps": 156, "loss": 0.6836, "accuracy": 0.484375, "lr": 1.9034504346103822e-06, "epoch": 0.1408, "percentage": 14.1, "elapsed_time": "0:03:48", "remaining_time": "0:23:09"}
|
| 23 |
+
{"current_steps": 23, "total_steps": 156, "loss": 0.6782, "accuracy": 0.53125, "lr": 1.8946346361051474e-06, "epoch": 0.1472, "percentage": 14.74, "elapsed_time": "0:03:58", "remaining_time": "0:22:56"}
|
| 24 |
+
{"current_steps": 24, "total_steps": 156, "loss": 0.6767, "accuracy": 0.5625, "lr": 1.8854560256532098e-06, "epoch": 0.1536, "percentage": 15.38, "elapsed_time": "0:04:08", "remaining_time": "0:22:45"}
|
| 25 |
+
{"current_steps": 25, "total_steps": 156, "loss": 0.6843, "accuracy": 0.53125, "lr": 1.8759183255668878e-06, "epoch": 0.16, "percentage": 16.03, "elapsed_time": "0:04:19", "remaining_time": "0:22:40"}
|
| 26 |
+
{"current_steps": 26, "total_steps": 156, "loss": 0.6688, "accuracy": 0.671875, "lr": 1.8660254037844386e-06, "epoch": 0.1664, "percentage": 16.67, "elapsed_time": "0:04:30", "remaining_time": "0:22:30"}
|
| 27 |
+
{"current_steps": 27, "total_steps": 156, "loss": 0.6794, "accuracy": 0.59375, "lr": 1.8557812723014475e-06, "epoch": 0.1728, "percentage": 17.31, "elapsed_time": "0:04:40", "remaining_time": "0:22:20"}
|
| 28 |
+
{"current_steps": 28, "total_steps": 156, "loss": 0.6732, "accuracy": 0.59375, "lr": 1.8451900855437948e-06, "epoch": 0.1792, "percentage": 17.95, "elapsed_time": "0:04:51", "remaining_time": "0:22:14"}
|
| 29 |
+
{"current_steps": 29, "total_steps": 156, "loss": 0.6852, "accuracy": 0.53125, "lr": 1.8342561386828613e-06, "epoch": 0.1856, "percentage": 18.59, "elapsed_time": "0:05:02", "remaining_time": "0:22:04"}
|
| 30 |
+
{"current_steps": 30, "total_steps": 156, "loss": 0.6714, "accuracy": 0.625, "lr": 1.8229838658936564e-06, "epoch": 0.192, "percentage": 19.23, "elapsed_time": "0:05:12", "remaining_time": "0:21:53"}
|
| 31 |
+
{"current_steps": 31, "total_steps": 156, "loss": 0.6632, "accuracy": 0.703125, "lr": 1.811377838556573e-06, "epoch": 0.1984, "percentage": 19.87, "elapsed_time": "0:05:23", "remaining_time": "0:21:45"}
|
| 32 |
+
{"current_steps": 32, "total_steps": 156, "loss": 0.6698, "accuracy": 0.578125, "lr": 1.7994427634035012e-06, "epoch": 0.2048, "percentage": 20.51, "elapsed_time": "0:05:34", "remaining_time": "0:21:34"}
|
| 33 |
+
{"current_steps": 33, "total_steps": 156, "loss": 0.6714, "accuracy": 0.625, "lr": 1.78718348060905e-06, "epoch": 0.2112, "percentage": 21.15, "elapsed_time": "0:05:45", "remaining_time": "0:21:27"}
|
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{"current_steps": 114, "total_steps": 156, "loss": 0.6044, "accuracy": 0.59375, "lr": 3.3687734175920503e-07, "epoch": 0.7296, "percentage": 73.08, "elapsed_time": "0:19:37", "remaining_time": "0:07:13"}
|
| 115 |
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{"current_steps": 115, "total_steps": 156, "loss": 0.5836, "accuracy": 0.671875, "lr": 3.2193900300810904e-07, "epoch": 0.736, "percentage": 73.72, "elapsed_time": "0:19:46", "remaining_time": "0:07:03"}
|
| 116 |
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{"current_steps": 116, "total_steps": 156, "loss": 0.6137, "accuracy": 0.59375, "lr": 3.072756464904006e-07, "epoch": 0.7424, "percentage": 74.36, "elapsed_time": "0:19:57", "remaining_time": "0:06:52"}
|
| 117 |
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{"current_steps": 117, "total_steps": 156, "loss": 0.6225, "accuracy": 0.625, "lr": 2.9289321881345254e-07, "epoch": 0.7488, "percentage": 75.0, "elapsed_time": "0:20:08", "remaining_time": "0:06:42"}
|
| 118 |
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{"current_steps": 118, "total_steps": 156, "loss": 0.597, "accuracy": 0.609375, "lr": 2.7879755265618557e-07, "epoch": 0.7552, "percentage": 75.64, "elapsed_time": "0:20:18", "remaining_time": "0:06:32"}
|
| 119 |
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{"current_steps": 119, "total_steps": 156, "loss": 0.6394, "accuracy": 0.5625, "lr": 2.649943644036716e-07, "epoch": 0.7616, "percentage": 76.28, "elapsed_time": "0:20:29", "remaining_time": "0:06:22"}
|
| 120 |
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{"current_steps": 120, "total_steps": 156, "loss": 0.6675, "accuracy": 0.484375, "lr": 2.514892518288988e-07, "epoch": 0.768, "percentage": 76.92, "elapsed_time": "0:20:40", "remaining_time": "0:06:12"}
|
| 121 |
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|
| 122 |
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{"current_steps": 122, "total_steps": 156, "loss": 0.6145, "accuracy": 0.625, "lr": 2.253950381723455e-07, "epoch": 0.7808, "percentage": 78.21, "elapsed_time": "0:21:00", "remaining_time": "0:05:51"}
|
| 123 |
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{"current_steps": 123, "total_steps": 156, "loss": 0.619, "accuracy": 0.65625, "lr": 2.128165193909499e-07, "epoch": 0.7872, "percentage": 78.85, "elapsed_time": "0:21:10", "remaining_time": "0:05:40"}
|
| 124 |
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{"current_steps": 124, "total_steps": 156, "loss": 0.6448, "accuracy": 0.546875, "lr": 2.0055723659649905e-07, "epoch": 0.7936, "percentage": 79.49, "elapsed_time": "0:21:20", "remaining_time": "0:05:30"}
|
| 125 |
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{"current_steps": 125, "total_steps": 156, "loss": 0.6464, "accuracy": 0.625, "lr": 1.8862216144342692e-07, "epoch": 0.8, "percentage": 80.13, "elapsed_time": "0:21:30", "remaining_time": "0:05:20"}
|
| 126 |
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{"current_steps": 126, "total_steps": 156, "loss": 0.5838, "accuracy": 0.671875, "lr": 1.7701613410634365e-07, "epoch": 0.8064, "percentage": 80.77, "elapsed_time": "0:21:40", "remaining_time": "0:05:09"}
|
| 127 |
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{"current_steps": 127, "total_steps": 156, "loss": 0.5897, "accuracy": 0.703125, "lr": 1.657438613171387e-07, "epoch": 0.8128, "percentage": 81.41, "elapsed_time": "0:21:51", "remaining_time": "0:04:59"}
|
| 128 |
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{"current_steps": 128, "total_steps": 156, "loss": 0.6376, "accuracy": 0.515625, "lr": 1.5480991445620538e-07, "epoch": 0.8192, "percentage": 82.05, "elapsed_time": "0:22:01", "remaining_time": "0:04:49"}
|
| 129 |
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|
| 130 |
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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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| 137 |
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| 138 |
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| 139 |
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|
| 140 |
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{"current_steps": 140, "total_steps": 156, "loss": 0.5961, "accuracy": 0.578125, "lr": 5.146355805285451e-08, "epoch": 0.896, "percentage": 89.74, "elapsed_time": "0:24:07", "remaining_time": "0:02:45"}
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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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{"current_steps": 145, "total_steps": 156, "loss": 0.5799, "accuracy": 0.59375, "lr": 2.4435949152906144e-08, "epoch": 0.928, "percentage": 92.95, "elapsed_time": "0:24:59", "remaining_time": "0:01:53"}
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| 146 |
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{"current_steps": 146, "total_steps": 156, "loss": 0.6297, "accuracy": 0.515625, "lr": 2.0209347957732326e-08, "epoch": 0.9344, "percentage": 93.59, "elapsed_time": "0:25:09", "remaining_time": "0:01:43"}
|
| 147 |
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|
| 148 |
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{"current_steps": 148, "total_steps": 156, "loss": 0.5887, "accuracy": 0.65625, "lr": 1.2949737362087154e-08, "epoch": 0.9472, "percentage": 94.87, "elapsed_time": "0:25:30", "remaining_time": "0:01:22"}
|
| 149 |
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{"current_steps": 149, "total_steps": 156, "loss": 0.5811, "accuracy": 0.65625, "lr": 9.919672038835925e-09, "epoch": 0.9536, "percentage": 95.51, "elapsed_time": "0:25:41", "remaining_time": "0:01:12"}
|
| 150 |
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{"current_steps": 150, "total_steps": 156, "loss": 0.6039, "accuracy": 0.640625, "lr": 7.291125901946027e-09, "epoch": 0.96, "percentage": 96.15, "elapsed_time": "0:25:51", "remaining_time": "0:01:02"}
|
| 151 |
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{"current_steps": 151, "total_steps": 156, "loss": 0.6305, "accuracy": 0.546875, "lr": 5.065164937354427e-09, "epoch": 0.9664, "percentage": 96.79, "elapsed_time": "0:26:01", "remaining_time": "0:00:51"}
|
| 152 |
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{"current_steps": 152, "total_steps": 156, "loss": 0.5911, "accuracy": 0.65625, "lr": 3.2426918657900704e-09, "epoch": 0.9728, "percentage": 97.44, "elapsed_time": "0:26:10", "remaining_time": "0:00:41"}
|
| 153 |
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{"current_steps": 153, "total_steps": 156, "loss": 0.6273, "accuracy": 0.609375, "lr": 1.824445776682504e-09, "epoch": 0.9792, "percentage": 98.08, "elapsed_time": "0:26:20", "remaining_time": "0:00:30"}
|
| 154 |
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{"current_steps": 154, "total_steps": 156, "loss": 0.5845, "accuracy": 0.625, "lr": 8.110018284304132e-10, "epoch": 0.9856, "percentage": 98.72, "elapsed_time": "0:26:30", "remaining_time": "0:00:20"}
|
| 155 |
+
{"current_steps": 155, "total_steps": 156, "loss": 0.6496, "accuracy": 0.578125, "lr": 2.0277101514987183e-10, "epoch": 0.992, "percentage": 99.36, "elapsed_time": "0:26:41", "remaining_time": "0:00:10"}
|
| 156 |
+
{"current_steps": 156, "total_steps": 156, "loss": 0.6656, "accuracy": 0.5625, "lr": 0.0, "epoch": 0.9984, "percentage": 100.0, "elapsed_time": "0:26:52", "remaining_time": "0:00:00"}
|
| 157 |
+
{"current_steps": 156, "total_steps": 156, "epoch": 0.9984, "percentage": 100.0, "elapsed_time": "0:26:57", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2382 @@
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