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--- |
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license: other |
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library_name: peft |
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tags: |
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- llama-factory |
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- lora |
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- unsloth |
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- generated_from_trainer |
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base_model: unsloth/llama-3-70b-Instruct-bnb-4bit |
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model-index: |
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- name: A61K-15950_2 |
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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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# A61K-15950_2 |
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This model is a fine-tuned version of [/home/user/research/LLaMA-Factory/saves/LLaMA3-70B-qlora-bnb/lora/sft/A61K-15950/checkpoint-200](https://huggingface.co//home/user/research/LLaMA-Factory/saves/LLaMA3-70B-qlora-bnb/lora/sft/A61K-15950/checkpoint-200) on the patents_A61K_cla_abs_det_sample_2100_balance_train_llama-factory-15950 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3507 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_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: 0.1 |
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- num_epochs: 1.0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.3663 | 0.4938 | 100 | 0.3549 | |
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| 0.3383 | 0.9877 | 200 | 0.3507 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
