lBober/my-model-Sabert-Sentimento

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis](https://huggingface.co/VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4592
-- Accuracy: 0.8516
-- F1: 0.0
-- Precision: 0.0
-- Recall: 0.0
+- Loss: 0.3463
+- Accuracy: 0.9290
+- F1: 0.6452
+- Precision: 0.6667
+- Recall: 0.625
 
 ## Model description
 
@@ -43,23 +43,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.003
-- train_batch_size: 20
-- eval_batch_size: 20
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3.0
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
-| 0.8122        | 1.0   | 37   | 0.4203          | 0.8516   | 0.0 | 0.0       | 0.0    |
-| 0.4185        | 2.0   | 74   | 0.5525          | 0.8516   | 0.0 | 0.0       | 0.0    |
-| 0.4763        | 3.0   | 111  | 0.6080          | 0.8516   | 0.0 | 0.0       | 0.0    |
-| 0.4456        | 4.0   | 148  | 0.4505          | 0.8516   | 0.0 | 0.0       | 0.0    |
-| 0.4375        | 5.0   | 185  | 0.4592          | 0.8516   | 0.0 | 0.0       | 0.0    |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 91   | 0.2654          | 0.9355   | 0.6667 | 0.7143    | 0.625  |
+| No log        | 2.0   | 182  | 0.2582          | 0.9419   | 0.7097 | 0.7333    | 0.6875 |
+| No log        | 3.0   | 273  | 0.3463          | 0.9290   | 0.6452 | 0.6667    | 0.625  |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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