End of training
Browse files- README.md +1 -6
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- trainer_peft.log +32 -0
- training_args.bin +1 -1
README.md
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/noc-lab/PMC_LLAMA_7B_trainer_Wiki_lora/runs/
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# PMC_LLAMA_7B_trainer_Wiki_lora
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This model is a fine-tuned version of [chaoyi-wu/PMC_LLAMA_7B](https://huggingface.co/chaoyi-wu/PMC_LLAMA_7B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8246
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0899 | 0.9985 | 569 | 1.8246 |
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### Framework versions
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/noc-lab/PMC_LLAMA_7B_trainer_Wiki_lora/runs/dtbm1bv9)
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# PMC_LLAMA_7B_trainer_Wiki_lora
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This model is a fine-tuned version of [chaoyi-wu/PMC_LLAMA_7B](https://huggingface.co/chaoyi-wu/PMC_LLAMA_7B) on the None dataset.
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## Model description
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### Training results
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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trainer_peft.log
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2024-05-30 02:08 - Setup PEFT
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2024-05-30 02:08 - Setup optimizer
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2024-05-30 02:08 - Start training
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2024-05-30 02:08 - Setup PEFT
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2024-05-30 02:08 - Setup optimizer
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2024-05-30 02:08 - Start training
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2024-05-30 17:35 - Training complete!!!
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2024-05-30 19:45 - Cuda check
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2024-05-30 19:45 - True
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2024-05-30 19:45 - 1
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2024-05-30 19:45 - Configue Model and tokenizer
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2024-05-30 19:45 - Memory usage in 25.17 GB
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2024-05-30 19:45 - Dataset loaded successfully:
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train-Jingmei/Pandemic_ECDC
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test -Jingmei/Pandemic_WHO
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2024-05-30 19:46 - Tokenize data: DatasetDict({
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train: Dataset({
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features: ['input_ids', 'attention_mask'],
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num_rows: 7008
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})
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test: Dataset({
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features: ['input_ids', 'attention_mask'],
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num_rows: 8264
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})
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})
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2024-05-30 19:49 - Split data into chunks:DatasetDict({
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train: Dataset({
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features: ['input_ids', 'attention_mask'],
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num_rows: 103936
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})
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test: Dataset({
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features: ['input_ids', 'attention_mask'],
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num_rows: 198964
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})
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})
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2024-05-30 19:49 - Setup PEFT
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2024-05-30 19:49 - Setup optimizer
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2024-05-30 19:49 - Start training
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training_args.bin
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