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billm-llama-7b-conll03-ner

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Safetensors
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End of training

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  2. adapter_model.safetensors +1 -1
README.md CHANGED
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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: 0.1740
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- - Precision: 0.9207
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- - Recall: 0.9361
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- - F1: 0.9283
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- - Accuracy: 0.9857
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  ## Model description
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@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.049 | 1.0 | 1756 | 0.0956 | 0.9083 | 0.9254 | 0.9168 | 0.9841 |
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- | 0.0199 | 2.0 | 3512 | 0.0920 | 0.9162 | 0.9254 | 0.9208 | 0.9846 |
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- | 0.0093 | 3.0 | 5268 | 0.1172 | 0.9215 | 0.9325 | 0.9270 | 0.9856 |
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- | 0.0037 | 4.0 | 7024 | 0.1428 | 0.9207 | 0.9361 | 0.9283 | 0.9857 |
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- | 0.0013 | 5.0 | 8780 | 0.1642 | 0.9187 | 0.9346 | 0.9266 | 0.9854 |
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- | 0.0007 | 6.0 | 10536 | 0.1724 | 0.9202 | 0.9368 | 0.9284 | 0.9857 |
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- | 0.0005 | 7.0 | 12292 | 0.1729 | 0.9205 | 0.9364 | 0.9284 | 0.9858 |
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- | 0.0004 | 8.0 | 14048 | 0.1736 | 0.9214 | 0.9368 | 0.9290 | 0.9858 |
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- | 0.0003 | 9.0 | 15804 | 0.1737 | 0.9208 | 0.9359 | 0.9283 | 0.9857 |
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- | 0.0003 | 10.0 | 17560 | 0.1740 | 0.9207 | 0.9361 | 0.9283 | 0.9857 |
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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: 0.1783
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+ - Precision: 0.9150
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+ - Recall: 0.9330
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+ - F1: 0.9239
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+ - Accuracy: 0.9851
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0477 | 1.0 | 1756 | 0.0998 | 0.9116 | 0.9283 | 0.9199 | 0.9842 |
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+ | 0.0201 | 2.0 | 3512 | 0.0986 | 0.9152 | 0.9251 | 0.9201 | 0.9842 |
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+ | 0.0089 | 3.0 | 5268 | 0.1195 | 0.9128 | 0.9278 | 0.9202 | 0.9843 |
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+ | 0.0025 | 4.0 | 7024 | 0.1564 | 0.9129 | 0.9341 | 0.9234 | 0.9851 |
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+ | 0.0013 | 5.0 | 8780 | 0.1669 | 0.9140 | 0.9316 | 0.9227 | 0.9850 |
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+ | 0.0006 | 6.0 | 10536 | 0.1736 | 0.9155 | 0.9328 | 0.9241 | 0.9852 |
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+ | 0.0003 | 7.0 | 12292 | 0.1755 | 0.9144 | 0.9325 | 0.9233 | 0.9851 |
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+ | 0.0003 | 8.0 | 14048 | 0.1782 | 0.9145 | 0.9328 | 0.9236 | 0.9851 |
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+ | 0.0003 | 9.0 | 15804 | 0.1782 | 0.9144 | 0.9326 | 0.9234 | 0.9851 |
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+ | 0.0002 | 10.0 | 17560 | 0.1783 | 0.9150 | 0.9330 | 0.9239 | 0.9851 |
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  ### Framework versions
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