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End of training

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  1. README.md +15 -22
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.1763
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- - Precision: 0.5149
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- - Recall: 0.5474
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- - F1: 0.5306
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- - Accuracy: 0.9771
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  ## Model description
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@@ -43,33 +43,26 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0005
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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: 15
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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 | 0.1373 | 0.3704 | 0.1053 | 0.1639 | 0.9658 |
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- | No log | 2.0 | 78 | 0.1236 | 0.2123 | 0.3632 | 0.2680 | 0.9638 |
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- | No log | 3.0 | 117 | 0.0959 | 0.5333 | 0.1263 | 0.2043 | 0.9701 |
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- | No log | 4.0 | 156 | 0.0803 | 0.3480 | 0.5 | 0.4104 | 0.9715 |
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- | No log | 5.0 | 195 | 0.1118 | 0.4684 | 0.3895 | 0.4253 | 0.9758 |
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- | No log | 6.0 | 234 | 0.0944 | 0.4421 | 0.4421 | 0.4421 | 0.9752 |
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- | No log | 7.0 | 273 | 0.1037 | 0.4976 | 0.5368 | 0.5165 | 0.9772 |
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- | No log | 8.0 | 312 | 0.1405 | 0.4798 | 0.5632 | 0.5182 | 0.9770 |
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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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