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--- |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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library_name: peft |
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license: llama2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: outputs |
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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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# outputs |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4173 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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_steps: 2 |
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- training_steps: 100 |
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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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| 3.6173 | 0.0134 | 10 | 2.3897 | |
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| 2.2715 | 0.0267 | 20 | 1.7717 | |
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| 1.7437 | 0.0401 | 30 | 1.5891 | |
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| 1.3236 | 0.0535 | 40 | 1.5109 | |
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| 1.3035 | 0.0668 | 50 | 1.4715 | |
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| 1.2304 | 0.0802 | 60 | 1.4510 | |
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| 1.2023 | 0.0936 | 70 | 1.4357 | |
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| 1.37 | 0.1069 | 80 | 1.4268 | |
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| 1.2943 | 0.1203 | 90 | 1.4199 | |
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| 1.3791 | 0.1336 | 100 | 1.4173 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
