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my-model-SaBERT-Sentimento

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lBober/my-model-Sabert-Sentimento

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/May25_16-25-35_fe998d142f54/events.out.tfevents.1716654336.fe998d142f54.22692.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.3965
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- - Accuracy: 0.9097
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- - F1: 0.9035
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- - Precision: 0.9028
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- - Recall: 0.9097
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  ## Model description
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@@ -44,8 +44,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 100
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- - eval_batch_size: 100
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.5164 | 1.0 | 8 | 0.4225 | 0.8903 | 0.8649 | 0.8870 | 0.8903 |
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- | 0.2015 | 2.0 | 16 | 0.2860 | 0.9161 | 0.9005 | 0.9236 | 0.9161 |
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- | 0.1022 | 3.0 | 24 | 0.2864 | 0.9161 | 0.9038 | 0.9156 | 0.9161 |
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- | 0.0774 | 4.0 | 32 | 0.3939 | 0.9097 | 0.9010 | 0.9026 | 0.9097 |
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- | 0.0322 | 5.0 | 40 | 0.3965 | 0.9097 | 0.9035 | 0.9028 | 0.9097 |
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  ### Framework versions
 
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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: 0.3425
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+ - Accuracy: 0.9355
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+ - F1: 0.9276
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+ - Precision: 0.9253
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+ - Recall: 0.9355
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 30
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.4095 | 1.0 | 25 | 0.2597 | 0.9355 | 0.9276 | 0.9253 | 0.9355 |
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+ | 0.1831 | 2.0 | 50 | 0.3267 | 0.9226 | 0.9024 | 0.9223 | 0.9226 |
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+ | 0.138 | 3.0 | 75 | 0.3843 | 0.9290 | 0.9125 | 0.9278 | 0.9290 |
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+ | 0.0776 | 4.0 | 100 | 0.3418 | 0.9290 | 0.9240 | 0.9199 | 0.9290 |
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+ | 0.0561 | 5.0 | 125 | 0.3425 | 0.9355 | 0.9276 | 0.9253 | 0.9355 |
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  ### Framework versions
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