RafaelMayer
/

copec-whatsapp-13-roberta

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

RafaelMayer commited on Aug 14, 2023

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b0dfe1b

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1 Parent(s): 97650b0

Training in progress epoch 2

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README.md +4 -3
tf_model.h5 +1 -1

README.md CHANGED Viewed

@@ -15,8 +15,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6829
-- Validation Loss: 0.6850
 - Train Accuracy: 0.7647
 - Train Precision: [0.         0.76470588]
 - Train Precision W: 0.5848
@@ -24,7 +24,7 @@ It achieves the following results on the evaluation set:
 - Train Recall W: 0.7647
 - Train F1: [0.         0.86666667]
 - Train F1 W: 0.6627
-- Epoch: 1
 ## Model description
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Train Precision         | Train Precision W | Train Recall | Train Recall W | Train F1                | Train F1 W | Epoch |
 |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:------------:|:--------------:|:-----------------------:|:----------:|:-----:|
 | 0.6829     | 0.6850          | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 1     |
 ### 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 an unknown dataset.
 It achieves the following results on the evaluation set:
+- Train Loss: 0.6834
+- Validation Loss: 0.6838
 - Train Accuracy: 0.7647
 - Train Precision: [0.         0.76470588]
 - Train Precision W: 0.5848
 - Train Recall W: 0.7647
 - Train F1: [0.         0.86666667]
 - Train F1 W: 0.6627
+- Epoch: 2
 ## Model description
 | Train Loss | Validation Loss | Train Accuracy | Train Precision         | Train Precision W | Train Recall | Train Recall W | Train F1                | Train F1 W | Epoch |
 |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:------------:|:--------------:|:-----------------------:|:----------:|:-----:|
 | 0.6829     | 0.6850          | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 1     |
+| 0.6834     | 0.6838          | 0.7647         | [0.         0.76470588] | 0.5848            | [0. 1.]      | 0.7647         | [0.         0.86666667] | 0.6627     | 2     |
 ### Framework versions

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