rubinho
/

bert-finetuned-ner

Token Classification

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rubinho commited on Nov 7, 2023

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README.md +8 -8
pytorch_model.bin +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3572
-- Precision: 0.5922
-- Recall: 0.4916
-- F1: 0.5373
-- Accuracy: 0.9276
 ## Model description
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 425  | 0.3593          | 0.5417    | 0.3804 | 0.4469 | 0.9157   |
-| No log        | 2.0   | 850  | 0.3799          | 0.6286    | 0.4151 | 0.5    | 0.9220   |
-| No log        | 3.0   | 1275 | 0.3572          | 0.5922    | 0.4916 | 0.5373 | 0.9276   |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.3559
+- Precision: 0.5850
+- Recall: 0.4773
+- F1: 0.5257
+- Accuracy: 0.9261
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 425  | 0.3403          | 0.5637    | 0.3971 | 0.4660 | 0.9172   |
+| No log        | 2.0   | 850  | 0.3708          | 0.6084    | 0.4163 | 0.4943 | 0.9217   |
+| No log        | 3.0   | 1275 | 0.3559          | 0.5850    | 0.4773 | 0.5257 | 0.9261   |
 ### Framework versions

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