Instructions to use PauAnd29/beto-sarcasmo-bs32-ep10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PauAnd29/beto-sarcasmo-bs32-ep10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PauAnd29/beto-sarcasmo-bs32-ep10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PauAnd29/beto-sarcasmo-bs32-ep10") model = AutoModelForSequenceClassification.from_pretrained("PauAnd29/beto-sarcasmo-bs32-ep10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
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README.md
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- F1 Weighted: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
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### Framework versions
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This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6352
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- F1 Macro: 0.9149
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- F1 Weighted: 0.9191
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- Accuracy: 0.9194
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Weighted | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|
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| 0.6760 | 1.0 | 478 | 0.3306 | 0.8599 | 0.8644 | 0.8631 |
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| 0.4085 | 2.0 | 956 | 0.2336 | 0.9046 | 0.9097 | 0.9105 |
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| 0.2910 | 3.0 | 1434 | 0.2845 | 0.9059 | 0.9106 | 0.9110 |
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| 0.2298 | 4.0 | 1912 | 0.3658 | 0.9133 | 0.9173 | 0.9173 |
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| 0.1261 | 5.0 | 2390 | 0.4713 | 0.9121 | 0.9168 | 0.9175 |
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| 0.1084 | 6.0 | 2868 | 0.4984 | 0.9177 | 0.9216 | 0.9217 |
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| 0.0407 | 7.0 | 3346 | 0.5894 | 0.9136 | 0.9173 | 0.9170 |
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| 0.0075 | 8.0 | 3824 | 0.6167 | 0.9150 | 0.9190 | 0.9191 |
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| 0.0145 | 9.0 | 4302 | 0.6352 | 0.9149 | 0.9191 | 0.9194 |
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### Framework versions
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