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my-model-SaBERT-Sentimento

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lBober/my-model-SaBERT-Sentimento

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  1. README.md +21 -20
  2. model.safetensors +1 -1
  3. runs/May25_15-28-25_fe998d142f54/events.out.tfevents.1716650905.fe998d142f54.6359.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -5,20 +5,26 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
 
 
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  model-index:
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- - name: results
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # results
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8176
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- - Accuracy: 0.8903
 
 
 
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  ## Model description
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@@ -37,28 +43,23 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.2
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- - train_batch_size: 10
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- - eval_batch_size: 10
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 17.2727 | 1.0 | 73 | 7.2544 | 0.1097 |
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- | 17.6794 | 2.0 | 146 | 4.7855 | 0.8903 |
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- | 9.8778 | 3.0 | 219 | 14.5052 | 0.1097 |
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- | 14.4112 | 4.0 | 292 | 4.7277 | 0.8903 |
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- | 9.0042 | 5.0 | 365 | 3.2295 | 0.8903 |
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- | 12.0204 | 6.0 | 438 | 5.1950 | 0.8903 |
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- | 7.5582 | 7.0 | 511 | 1.6250 | 0.8903 |
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- | 6.6289 | 8.0 | 584 | 6.2765 | 0.1097 |
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- | 4.6584 | 9.0 | 657 | 0.4767 | 0.8903 |
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- | 2.4064 | 10.0 | 730 | 0.8176 | 0.8903 |
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  ### Framework versions
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
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+ - f1
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+ - precision
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+ - recall
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  model-index:
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+ - name: my-model-SaBERT-Sentimento
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # my-model-SaBERT-Sentimento
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2866
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+ - Accuracy: 0.9355
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+ - F1: 0.9362
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+ - Precision: 0.9403
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+ - Recall: 0.9355
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 20
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+ - eval_batch_size: 20
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.3225 | 1.0 | 37 | 0.2158 | 0.9355 | 0.9348 | 0.9355 | 0.9355 |
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+ | 0.1283 | 2.0 | 74 | 0.2217 | 0.9484 | 0.9472 | 0.9473 | 0.9484 |
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+ | 0.0753 | 3.0 | 111 | 0.2598 | 0.9355 | 0.9362 | 0.9403 | 0.9355 |
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+ | 0.0503 | 4.0 | 148 | 0.2878 | 0.9290 | 0.9309 | 0.9373 | 0.9290 |
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+ | 0.0397 | 5.0 | 185 | 0.2866 | 0.9355 | 0.9362 | 0.9403 | 0.9355 |
 
 
 
 
 
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  ### Framework versions
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