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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama-2-7b-hf-ft-compact |
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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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# llama-2-7b-hf-ft-compact |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.4389 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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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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| 4.3974 | 0.36 | 25 | 4.4386 | |
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| 4.4015 | 0.73 | 50 | 4.4383 | |
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| 4.3944 | 1.09 | 75 | 4.4386 | |
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| 4.4058 | 1.45 | 100 | 4.4386 | |
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| 4.4428 | 1.82 | 125 | 4.4383 | |
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| 4.4266 | 2.18 | 150 | 4.4385 | |
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| 4.4104 | 2.55 | 175 | 4.4386 | |
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| 4.4026 | 2.91 | 200 | 4.4389 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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