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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: output_llama2_instruct |
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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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# output_llama2_instruct |
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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: 1.6746 |
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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: 20 |
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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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| 1.9193 | 0.0 | 20 | 1.8124 | |
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| 1.8847 | 0.01 | 40 | 1.7835 | |
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| 1.813 | 0.01 | 60 | 1.7710 | |
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| 1.9026 | 0.01 | 80 | 1.7605 | |
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| 1.8352 | 0.01 | 100 | 1.7449 | |
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| 1.7327 | 0.02 | 120 | 1.7100 | |
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| 1.8625 | 0.02 | 140 | 1.7055 | |
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| 1.9379 | 0.02 | 160 | 1.7008 | |
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| 1.8597 | 0.02 | 180 | 1.6971 | |
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| 1.8703 | 0.03 | 200 | 1.6943 | |
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| 1.7749 | 0.03 | 220 | 1.6902 | |
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| 1.7645 | 0.03 | 240 | 1.6898 | |
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| 1.7894 | 0.04 | 260 | 1.6886 | |
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| 1.8492 | 0.04 | 280 | 1.6870 | |
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| 1.7331 | 0.04 | 300 | 1.6841 | |
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| 1.7278 | 0.04 | 320 | 1.6830 | |
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| 1.6963 | 0.05 | 340 | 1.6826 | |
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| 1.8226 | 0.05 | 360 | 1.6813 | |
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| 1.8246 | 0.05 | 380 | 1.6797 | |
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| 1.8577 | 0.05 | 400 | 1.6778 | |
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| 1.6691 | 0.06 | 420 | 1.6779 | |
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| 1.7001 | 0.06 | 440 | 1.6774 | |
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| 1.9008 | 0.06 | 460 | 1.6770 | |
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| 1.7856 | 0.07 | 480 | 1.6733 | |
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| 1.7674 | 0.07 | 500 | 1.6746 | |
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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 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
