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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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datasets: |
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- generator |
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base_model: NousResearch/Llama-2-7b-hf |
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model-index: |
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- name: llama2_instruct_generation |
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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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# llama2_instruct_generation |
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6750 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.8413 | 0.0 | 20 | 1.8102 | |
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| 1.9042 | 0.01 | 40 | 1.7811 | |
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| 1.8402 | 0.01 | 60 | 1.7657 | |
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| 1.8856 | 0.01 | 80 | 1.7511 | |
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| 1.9212 | 0.01 | 100 | 1.7390 | |
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| 1.807 | 0.02 | 120 | 1.7090 | |
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| 1.8321 | 0.02 | 140 | 1.7029 | |
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| 1.871 | 0.02 | 160 | 1.6979 | |
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| 1.848 | 0.02 | 180 | 1.6947 | |
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| 1.8378 | 0.03 | 200 | 1.6908 | |
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| 1.746 | 0.03 | 220 | 1.6893 | |
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| 1.7568 | 0.03 | 240 | 1.6874 | |
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| 1.8227 | 0.04 | 260 | 1.6860 | |
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| 1.8134 | 0.04 | 280 | 1.6835 | |
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| 1.8026 | 0.04 | 300 | 1.6819 | |
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| 1.8267 | 0.04 | 320 | 1.6831 | |
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| 1.7998 | 0.05 | 340 | 1.6816 | |
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| 1.8747 | 0.05 | 360 | 1.6793 | |
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| 1.8478 | 0.05 | 380 | 1.6785 | |
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| 1.8627 | 0.05 | 400 | 1.6776 | |
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| 1.7956 | 0.06 | 420 | 1.6783 | |
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| 1.7184 | 0.06 | 440 | 1.6764 | |
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| 1.7038 | 0.06 | 460 | 1.6753 | |
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| 1.9049 | 0.07 | 480 | 1.6764 | |
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| 1.8113 | 0.07 | 500 | 1.6750 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
