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--- |
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license: apache-2.0 |
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base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis |
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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: my-model-SaBERT-Area |
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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-Area |
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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: 1.5236 |
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- Accuracy: 0.4173 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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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- 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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| 1.8312 | 1.0 | 7 | 1.7417 | 0.3022 | |
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| 1.6365 | 2.0 | 14 | 1.6915 | 0.3165 | |
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| 1.5135 | 3.0 | 21 | 1.6488 | 0.3525 | |
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| 1.3915 | 4.0 | 28 | 1.6102 | 0.3525 | |
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| 1.2707 | 5.0 | 35 | 1.5685 | 0.4173 | |
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| 1.1772 | 6.0 | 42 | 1.5384 | 0.4388 | |
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| 1.0696 | 7.0 | 49 | 1.5229 | 0.4245 | |
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| 0.9962 | 8.0 | 56 | 1.5187 | 0.4173 | |
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| 0.9411 | 9.0 | 63 | 1.5232 | 0.4317 | |
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| 0.9334 | 10.0 | 70 | 1.5236 | 0.4173 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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