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--- |
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license: other |
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base_model: yahma/llama-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: V0224P6 |
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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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# V0224P6 |
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This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co/yahma/llama-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7620 |
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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: 0.0003 |
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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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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 3 |
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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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| 1.085 | 0.13 | 10 | 1.0269 | |
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| 0.9547 | 0.26 | 20 | 0.9054 | |
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| 0.8742 | 0.39 | 30 | 0.8555 | |
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| 0.8306 | 0.52 | 40 | 0.8292 | |
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| 0.8157 | 0.65 | 50 | 0.8145 | |
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| 0.8024 | 0.78 | 60 | 0.8040 | |
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| 0.7797 | 0.91 | 70 | 0.7959 | |
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| 0.77 | 1.04 | 80 | 0.7861 | |
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| 0.7427 | 1.17 | 90 | 0.7787 | |
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| 0.7945 | 1.3 | 100 | 0.8105 | |
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| 0.7863 | 1.43 | 110 | 0.7969 | |
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| 0.7692 | 1.55 | 120 | 0.7881 | |
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| 0.7529 | 1.68 | 130 | 0.7809 | |
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| 0.761 | 1.81 | 140 | 0.7746 | |
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| 0.7638 | 1.94 | 150 | 0.7692 | |
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| 0.7401 | 2.07 | 160 | 0.7682 | |
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| 0.7216 | 2.2 | 170 | 0.7656 | |
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| 0.7336 | 2.33 | 180 | 0.7641 | |
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| 0.7245 | 2.46 | 190 | 0.7634 | |
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| 0.7252 | 2.59 | 200 | 0.7629 | |
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| 0.7279 | 2.72 | 210 | 0.7622 | |
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| 0.7258 | 2.85 | 220 | 0.7621 | |
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| 0.7271 | 2.98 | 230 | 0.7620 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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