santyzenith
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uda_rules_qa

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santyzenith commited on Feb 2

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End of training

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README.md +13 -13
model.safetensors +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac](https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6405
 ## Model description
@@ -46,18 +46,18 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.7406        | 1.0   | 22   | 1.3313          |
-| 0.8294        | 2.0   | 44   | 0.9417          |
-| 0.4808        | 3.0   | 66   | 0.8121          |
-| 0.2646        | 4.0   | 88   | 0.6370          |
-| 0.1079        | 5.0   | 110  | 0.5493          |
-| 0.0669        | 6.0   | 132  | 0.6504          |
-| 0.0434        | 7.0   | 154  | 0.6622          |
-| 0.0268        | 8.0   | 176  | 0.6765          |
-| 0.0266        | 9.0   | 198  | 0.7127          |
-| 0.0116        | 10.0  | 220  | 0.6476          |
-| 0.0131        | 11.0  | 242  | 0.6387          |
-| 0.0042        | 12.0  | 264  | 0.6405          |
 ### Framework versions

 This model is a fine-tuned version of [MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac](https://huggingface.co/MMG/bert-base-spanish-wwm-cased-finetuned-spa-squad2-es-finetuned-sqac) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7243
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 2.7332        | 1.0   | 22   | 1.4202          |
+| 0.8099        | 2.0   | 44   | 0.9133          |
+| 0.4445        | 3.0   | 66   | 0.6754          |
+| 0.2432        | 4.0   | 88   | 0.6191          |
+| 0.1033        | 5.0   | 110  | 0.6281          |
+| 0.0643        | 6.0   | 132  | 0.7338          |
+| 0.0319        | 7.0   | 154  | 0.7085          |
+| 0.0242        | 8.0   | 176  | 0.7378          |
+| 0.0186        | 9.0   | 198  | 0.7354          |
+| 0.017         | 10.0  | 220  | 0.7371          |
+| 0.0071        | 11.0  | 242  | 0.7257          |
+| 0.0064        | 12.0  | 264  | 0.7243          |
 ### Framework versions

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