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--- |
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base_model: NousResearch/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: 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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6733 |
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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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| 1.9478 | 0.0 | 20 | 1.8129 | |
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| 1.7992 | 0.0 | 40 | 1.7797 | |
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| 1.8765 | 0.0 | 60 | 1.7642 | |
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| 1.8488 | 0.01 | 80 | 1.7527 | |
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| 1.8512 | 0.01 | 100 | 1.7384 | |
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| 1.8856 | 0.01 | 120 | 1.7136 | |
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| 1.8429 | 0.01 | 140 | 1.7035 | |
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| 1.8258 | 0.01 | 160 | 1.6970 | |
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| 1.8125 | 0.01 | 180 | 1.6923 | |
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| 1.7902 | 0.01 | 200 | 1.6898 | |
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| 1.8622 | 0.02 | 220 | 1.6895 | |
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| 1.8823 | 0.02 | 240 | 1.6867 | |
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| 1.7728 | 0.02 | 260 | 1.6837 | |
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| 1.6331 | 0.02 | 280 | 1.6820 | |
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| 1.8399 | 0.02 | 300 | 1.6821 | |
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| 1.735 | 0.02 | 320 | 1.6810 | |
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| 1.8192 | 0.02 | 340 | 1.6804 | |
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| 1.7609 | 0.03 | 360 | 1.6771 | |
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| 1.6517 | 0.03 | 380 | 1.6768 | |
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| 1.6272 | 0.03 | 400 | 1.6738 | |
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| 1.7947 | 0.03 | 420 | 1.6751 | |
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| 1.7794 | 0.03 | 440 | 1.6740 | |
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| 1.6371 | 0.03 | 460 | 1.6726 | |
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| 1.7126 | 0.03 | 480 | 1.6730 | |
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| 1.7321 | 0.04 | 500 | 1.6733 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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