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: 0.3975
-- Accuracy: 0.9290
-- F1: 0.9219
-- Precision: 0.9243
-- Recall: 0.9290
+- Loss: 0.3965
+- Accuracy: 0.9097
+- F1: 0.9035
+- Precision: 0.9028
+- Recall: 0.9097
 
 ## Model description
 
@@ -43,9 +43,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-06
-- train_batch_size: 50
-- eval_batch_size: 50
+- learning_rate: 0.0002
+- train_batch_size: 100
+- eval_batch_size: 100
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.7867        | 1.0   | 15   | 0.6486          | 0.9161   | 0.9131 | 0.9221    | 0.9161 |
-| 0.6021        | 2.0   | 30   | 0.5178          | 0.9226   | 0.9162 | 0.9161    | 0.9226 |
-| 0.4997        | 3.0   | 45   | 0.4455          | 0.9226   | 0.9162 | 0.9161    | 0.9226 |
-| 0.444         | 4.0   | 60   | 0.4088          | 0.9290   | 0.9219 | 0.9243    | 0.9290 |
-| 0.424         | 5.0   | 75   | 0.3975          | 0.9290   | 0.9219 | 0.9243    | 0.9290 |
+| 0.5164        | 1.0   | 8    | 0.4225          | 0.8903   | 0.8649 | 0.8870    | 0.8903 |
+| 0.2015        | 2.0   | 16   | 0.2860          | 0.9161   | 0.9005 | 0.9236    | 0.9161 |
+| 0.1022        | 3.0   | 24   | 0.2864          | 0.9161   | 0.9038 | 0.9156    | 0.9161 |
+| 0.0774        | 4.0   | 32   | 0.3939          | 0.9097   | 0.9010 | 0.9026    | 0.9097 |
+| 0.0322        | 5.0   | 40   | 0.3965          | 0.9097   | 0.9035 | 0.9028    | 0.9097 |
 
 
 ### Framework versions

model.safetensors

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runs/May25_16-22-01_fe998d142f54/events.out.tfevents.1716654122.fe998d142f54.21642.0

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training_args.bin

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