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billm-llama-7b-conll03-ner

Token Classification
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Safetensors
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End of training

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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: 0.1894
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- - Precision: 0.9228
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- - Recall: 0.9364
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- - F1: 0.9296
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- - Accuracy: 0.9861
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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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- | 0.0453 | 1.0 | 1756 | 0.1025 | 0.9064 | 0.9227 | 0.9145 | 0.9836 |
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- | 0.0204 | 2.0 | 3512 | 0.0932 | 0.9187 | 0.9258 | 0.9222 | 0.9846 |
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- | 0.0105 | 3.0 | 5268 | 0.1267 | 0.9183 | 0.9308 | 0.9245 | 0.9855 |
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- | 0.0039 | 4.0 | 7024 | 0.1680 | 0.9213 | 0.9384 | 0.9298 | 0.9861 |
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- | 0.0014 | 5.0 | 8780 | 0.1761 | 0.9228 | 0.9366 | 0.9297 | 0.9861 |
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- | 0.0008 | 6.0 | 10536 | 0.1835 | 0.9228 | 0.9361 | 0.9294 | 0.9861 |
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- | 0.0005 | 7.0 | 12292 | 0.1880 | 0.9233 | 0.9363 | 0.9297 | 0.9861 |
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- | 0.0003 | 8.0 | 14048 | 0.1893 | 0.9230 | 0.9368 | 0.9298 | 0.9861 |
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- | 0.0003 | 9.0 | 15804 | 0.1895 | 0.9228 | 0.9364 | 0.9296 | 0.9861 |
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- | 0.0002 | 10.0 | 17560 | 0.1894 | 0.9228 | 0.9364 | 0.9296 | 0.9861 |
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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: 0.1740
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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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  | 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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