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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_wiki_1024_full_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_wiki_1024_full_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: 1.2375 |
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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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| 1.275 | 0.3 | 153 | 1.2611 | |
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| 1.2629 | 0.6 | 306 | 1.2488 | |
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| 1.2662 | 0.9 | 459 | 1.2431 | |
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| 1.1963 | 1.2 | 612 | 1.2454 | |
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| 1.2011 | 1.5 | 765 | 1.2411 | |
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| 1.1941 | 1.8 | 918 | 1.2375 | |
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| 1.1101 | 2.1 | 1071 | 1.2509 | |
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| 1.098 | 2.4 | 1224 | 1.2506 | |
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| 1.1113 | 2.7 | 1377 | 1.2466 | |
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| 1.1321 | 3.0 | 1530 | 1.2449 | |
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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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