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my-model-Bertin-Sentimento

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lBober/my-model-Bertin-Sentimento

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/May26_09-45-08_6b3393198f09/events.out.tfevents.1716716709.6b3393198f09.12771.0 +3 -0
  4. runs/May26_09-45-08_6b3393198f09/events.out.tfevents.1716716811.6b3393198f09.12771.1 +3 -0
  5. 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 [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2655
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- - Accuracy: 0.9419
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- - F1: 0.7805
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- - Precision: 0.8889
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- - Recall: 0.6957
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.3854 | 1.0 | 91 | 0.2982 | 0.9097 | 0.6111 | 0.8462 | 0.4783 |
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- | 0.2292 | 2.0 | 182 | 0.5019 | 0.8968 | 0.5 | 0.8889 | 0.3478 |
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- | 0.113 | 3.0 | 273 | 0.3843 | 0.9290 | 0.7556 | 0.7727 | 0.7391 |
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- | 0.051 | 4.0 | 364 | 0.3038 | 0.9355 | 0.8077 | 0.7241 | 0.9130 |
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- | 0.0267 | 5.0 | 455 | 0.2655 | 0.9419 | 0.7805 | 0.8889 | 0.6957 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggingface.co/bertin-project/bertin-roberta-base-spanish) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3572
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+ - Accuracy: 0.9355
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+ - F1: 0.9279
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+ - Precision: 0.9268
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+ - Recall: 0.9355
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.3998 | 1.0 | 91 | 0.3293 | 0.8774 | 0.8553 | 0.8570 | 0.8774 |
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+ | 0.2686 | 2.0 | 182 | 0.2188 | 0.9290 | 0.9200 | 0.9199 | 0.9290 |
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+ | 0.1113 | 3.0 | 273 | 0.2266 | 0.9290 | 0.9299 | 0.9360 | 0.9290 |
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+ | 0.0265 | 4.0 | 364 | 0.4089 | 0.9355 | 0.9277 | 0.9293 | 0.9355 |
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+ | 0.0065 | 5.0 | 455 | 0.3572 | 0.9355 | 0.9279 | 0.9268 | 0.9355 |
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  ### Framework versions
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