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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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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: training_outputs2 |
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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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# training_outputs2 |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Accuracy: 1.0 |
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- Precision: 1.0 |
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- Recall: 1.0 |
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- F1: 1.0 |
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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: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:| |
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| 0.0 | 0.21 | 10 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 0.42 | 20 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 0.62 | 30 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 0.83 | 40 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 1.04 | 50 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 1.25 | 60 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 1.46 | 70 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 1.67 | 80 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 1.88 | 90 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 2.08 | 100 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 2.29 | 110 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 2.5 | 120 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 2.71 | 130 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.0 | 2.92 | 140 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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