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--- |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: NousResearch/Llama-2-13b-hf |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [NousResearch/Llama-2-13b-hf](https://huggingface.co/NousResearch/Llama-2-13b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7605 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 10 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6794 | 0.1 | 25 | 1.6358 | |
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| 1.6218 | 0.21 | 50 | 1.5895 | |
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| 1.6211 | 0.31 | 75 | 1.5559 | |
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| 1.5658 | 0.41 | 100 | 1.5291 | |
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| 1.5722 | 0.52 | 125 | 1.5006 | |
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| 1.5555 | 0.62 | 150 | 1.4762 | |
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| 1.5135 | 0.72 | 175 | 1.4504 | |
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| 1.5607 | 0.82 | 200 | 1.4317 | |
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| 1.5449 | 0.93 | 225 | 1.4058 | |
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| 1.4032 | 1.03 | 250 | 1.3746 | |
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| 1.3898 | 1.13 | 275 | 1.3365 | |
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| 1.3305 | 1.24 | 300 | 1.3098 | |
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| 1.3502 | 1.34 | 325 | 1.2836 | |
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| 1.3796 | 1.44 | 350 | 1.2635 | |
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| 1.3519 | 1.55 | 375 | 1.2330 | |
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| 1.3051 | 1.65 | 400 | 1.2084 | |
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| 1.3192 | 1.75 | 425 | 1.1841 | |
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| 1.3232 | 1.86 | 450 | 1.1621 | |
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| 1.3408 | 1.96 | 475 | 1.1412 | |
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| 1.1116 | 2.06 | 500 | 1.0925 | |
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| 1.107 | 2.16 | 525 | 1.0628 | |
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| 1.0926 | 2.27 | 550 | 1.0387 | |
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| 1.0772 | 2.37 | 575 | 1.0121 | |
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| 1.0742 | 2.47 | 600 | 0.9918 | |
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| 1.109 | 2.58 | 625 | 0.9706 | |
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| 1.0826 | 2.68 | 650 | 0.9479 | |
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| 1.0857 | 2.78 | 675 | 0.9281 | |
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| 1.0705 | 2.89 | 700 | 0.9112 | |
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| 1.0742 | 2.99 | 725 | 0.8928 | |
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| 0.8945 | 3.09 | 750 | 0.8542 | |
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| 0.861 | 3.2 | 775 | 0.8344 | |
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| 0.8869 | 3.3 | 800 | 0.8198 | |
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| 0.8357 | 3.4 | 825 | 0.8039 | |
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| 0.8726 | 3.51 | 850 | 0.7924 | |
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| 0.8857 | 3.61 | 875 | 0.7809 | |
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| 0.8437 | 3.71 | 900 | 0.7702 | |
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| 0.8384 | 3.81 | 925 | 0.7637 | |
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| 0.819 | 3.92 | 950 | 0.7605 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
