fredymad
/

roberta_Pfinal_2e-5_16_2

Text Classification

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text-embeddings-inference

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fredymad commited on Jun 2, 2023

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update model card README.md

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3317
-- F1: 0.4138
 ## Model description
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.3653        | 1.0   | 669  | 0.3604          | 0.0    |
-| 0.3301        | 2.0   | 1338 | 0.3317          | 0.4138 |
 ### Framework versions

 This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2494
+- F1: 0.7330
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2608        | 1.0   | 669  | 0.2140          | 0.6623 |
+| 0.1754        | 2.0   | 1338 | 0.2494          | 0.7330 |
 ### Framework versions