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: 0.3425
-- Accuracy: 0.9355
-- F1: 0.9276
-- Precision: 0.9253
-- Recall: 0.9355
+- Loss: 0.3596
+- Accuracy: 0.9161
+- F1: 0.9167
+- Precision: 0.9193
+- Recall: 0.9161
 
 ## Model description
 
@@ -43,9 +43,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 30
-- eval_batch_size: 10
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4095        | 1.0   | 25   | 0.2597          | 0.9355   | 0.9276 | 0.9253    | 0.9355 |
-| 0.1831        | 2.0   | 50   | 0.3267          | 0.9226   | 0.9024 | 0.9223    | 0.9226 |
-| 0.138         | 3.0   | 75   | 0.3843          | 0.9290   | 0.9125 | 0.9278    | 0.9290 |
-| 0.0776        | 4.0   | 100  | 0.3418          | 0.9290   | 0.9240 | 0.9199    | 0.9290 |
-| 0.0561        | 5.0   | 125  | 0.3425          | 0.9355   | 0.9276 | 0.9253    | 0.9355 |
+| 0.2944        | 1.0   | 46   | 0.2173          | 0.9226   | 0.9204 | 0.9184    | 0.9226 |
+| 0.1038        | 2.0   | 92   | 0.2623          | 0.9355   | 0.9331 | 0.9309    | 0.9355 |
+| 0.0589        | 3.0   | 138  | 0.4238          | 0.9161   | 0.9196 | 0.9301    | 0.9161 |
+| 0.0354        | 4.0   | 184  | 0.3488          | 0.9161   | 0.9167 | 0.9193    | 0.9161 |
+| 0.0225        | 5.0   | 230  | 0.3596          | 0.9161   | 0.9167 | 0.9193    | 0.9161 |
 
 
 ### Framework versions

model.safetensors

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runs/May25_16-33-34_fe998d142f54/events.out.tfevents.1716654815.fe998d142f54.25028.0

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training_args.bin

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