lBober/my-model-Bertin-Sentimento
Browse files- README.md +15 -9
- model.safetensors +1 -1
- runs/May25_15-19-28_fe998d142f54/events.out.tfevents.1716650409.fe998d142f54.3747.0 +3 -0
- runs/May25_15-24-29_fe998d142f54/events.out.tfevents.1716650670.fe998d142f54.5183.0 +3 -0
- runs/May25_15-47-13_fe998d142f54/events.out.tfevents.1716652034.fe998d142f54.11194.0 +3 -0
- training_args.bin +1 -1
README.md
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metrics:
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- accuracy
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model-index:
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- name: my-model-Bertin-Sentimento
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results: []
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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.
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- Accuracy: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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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-Bertin-Sentimento
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results: []
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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: 0.2367
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- Accuracy: 0.9355
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- F1: 0.9386
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- Precision: 0.9439
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- Recall: 0.9355
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## Model description
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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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| 0.4974 | 1.0 | 37 | 0.2835 | 0.8968 | 0.8480 | 0.8042 | 0.8968 |
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| 0.288 | 2.0 | 74 | 0.2301 | 0.9161 | 0.9193 | 0.9236 | 0.9161 |
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| 0.1452 | 3.0 | 111 | 0.2097 | 0.9290 | 0.9280 | 0.9272 | 0.9290 |
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| 0.0708 | 4.0 | 148 | 0.1820 | 0.9419 | 0.9392 | 0.9383 | 0.9419 |
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| 0.0249 | 5.0 | 185 | 0.2367 | 0.9355 | 0.9386 | 0.9439 | 0.9355 |
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### Framework versions
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model.safetensors
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