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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama-7b-SFT_ds_eli5_1024_r_64_alpha_16 |
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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-7b-SFT_ds_eli5_1024_r_64_alpha_16 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1904 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.155 | 0.3 | 97 | 2.2053 | |
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| 2.1524 | 0.6 | 194 | 2.1970 | |
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| 2.1547 | 0.9 | 291 | 2.1904 | |
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| 2.0945 | 1.2 | 388 | 2.1929 | |
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| 2.0888 | 1.5 | 485 | 2.1950 | |
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| 2.0973 | 1.8 | 582 | 2.1969 | |
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| 2.0444 | 2.1 | 679 | 2.1937 | |
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| 2.0349 | 2.4 | 776 | 2.1992 | |
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| 2.0459 | 2.7 | 873 | 2.2036 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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