End of training
Browse files- README.md +15 -22
- adapter_model.safetensors +1 -1
README.md
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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: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size: 32
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- eval_batch_size: 32
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 39 | 0.
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| No log | 2.0 | 78 | 0.
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| No log | 3.0 | 117 | 0.
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| No log | 4.0 | 156 | 0.
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| No log | 5.0 | 195 | 0.
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| No log | 6.0 | 234 | 0.
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| No log | 7.0 | 273 | 0.
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| No log | 8.0 | 312 | 0.
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| No log | 9.0 | 351 | 0.1623 | 0.52 | 0.5474 | 0.5333 | 0.9766 |
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| No log | 10.0 | 390 | 0.1656 | 0.4906 | 0.5474 | 0.5174 | 0.9766 |
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| No log | 11.0 | 429 | 0.1729 | 0.5098 | 0.5474 | 0.5279 | 0.9770 |
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| No log | 12.0 | 468 | 0.1751 | 0.5073 | 0.5474 | 0.5266 | 0.9770 |
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| 0.0487 | 13.0 | 507 | 0.1758 | 0.5099 | 0.5421 | 0.5255 | 0.9770 |
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| 0.0487 | 14.0 | 546 | 0.1762 | 0.5073 | 0.5474 | 0.5266 | 0.9770 |
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| 0.0487 | 15.0 | 585 | 0.1763 | 0.5149 | 0.5474 | 0.5306 | 0.9771 |
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### Framework versions
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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: 0.1250
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- Precision: 0.5365
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- Recall: 0.5421
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- F1: 0.5393
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- Accuracy: 0.9778
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0009
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 39 | 0.1314 | 0.3137 | 0.0842 | 0.1328 | 0.9676 |
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| No log | 2.0 | 78 | 0.1068 | 0.2567 | 0.3526 | 0.2971 | 0.9669 |
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| No log | 3.0 | 117 | 0.0806 | 0.3886 | 0.3579 | 0.3726 | 0.9736 |
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| No log | 4.0 | 156 | 0.0710 | 0.4455 | 0.5158 | 0.4780 | 0.9757 |
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| No log | 5.0 | 195 | 0.0852 | 0.5217 | 0.4421 | 0.4786 | 0.9758 |
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| No log | 6.0 | 234 | 0.1035 | 0.5179 | 0.5316 | 0.5247 | 0.9773 |
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| No log | 7.0 | 273 | 0.1237 | 0.5344 | 0.5316 | 0.5330 | 0.9773 |
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| No log | 8.0 | 312 | 0.1250 | 0.5365 | 0.5421 | 0.5393 | 0.9778 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 33596518
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version https://git-lfs.github.com/spec/v1
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oid sha256:8e294f01e88217270f298d89371b0d1c01dc5f03b8438907213deda48d2c38eb
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size 33596518
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