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--- |
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base_model: mrm8488/electricidad-base-discriminator |
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tags: |
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- classification |
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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: text-classification |
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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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# text-classification |
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This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4197 |
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- Accuracy: 0.4503 |
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## Model description |
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Este modelo emplea un algoritmo de clasificación de textos. Emplea el modelo Electricidad para tokenizar el texto. |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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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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| No log | 1.0 | 388 | 1.3400 | 0.4052 | |
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| 1.3886 | 2.0 | 776 | 1.2878 | 0.4387 | |
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| 0.9608 | 3.0 | 1164 | 1.4197 | 0.4503 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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