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djsull/ner_insurence_roberta

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May31_06-37-39_129-146-79-76/events.out.tfevents.1717137459.129-146-79-76.3801064.7 +3 -0
  4. runs/May31_06-37-39_129-146-79-76/events.out.tfevents.1717137709.129-146-79-76.3801064.8 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0014
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- - Precision: 0.9275
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- - Recall: 0.9314
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- - F1: 0.9295
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- - Accuracy: 0.9996
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  ## Model description
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@@ -54,11 +54,11 @@ 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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- | No log | 1.0 | 127 | 0.0032 | 0.8493 | 0.8618 | 0.8555 | 0.9990 |
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- | No log | 2.0 | 254 | 0.0020 | 0.8841 | 0.9008 | 0.8924 | 0.9994 |
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- | No log | 3.0 | 381 | 0.0014 | 0.9152 | 0.9219 | 0.9185 | 0.9996 |
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- | 0.0088 | 4.0 | 508 | 0.0014 | 0.9275 | 0.9314 | 0.9295 | 0.9996 |
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- | 0.0088 | 5.0 | 635 | 0.0013 | 0.9225 | 0.9293 | 0.9259 | 0.9996 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0024
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+ - Precision: 0.8742
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+ - Recall: 0.8871
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+ - F1: 0.8806
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+ - Accuracy: 0.9992
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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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+ | No log | 1.0 | 57 | 0.0067 | 0.6685 | 0.6276 | 0.6474 | 0.9980 |
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+ | No log | 2.0 | 114 | 0.0035 | 0.8286 | 0.8312 | 0.8299 | 0.9989 |
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+ | No log | 3.0 | 171 | 0.0028 | 0.8690 | 0.8745 | 0.8717 | 0.9991 |
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+ | No log | 4.0 | 228 | 0.0026 | 0.8693 | 0.8840 | 0.8766 | 0.9992 |
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+ | No log | 5.0 | 285 | 0.0024 | 0.8742 | 0.8871 | 0.8806 | 0.9992 |
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  ### Framework versions
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