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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: clasificador-muchocine |
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results: [] |
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datasets: |
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- muchocine |
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language: |
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- es |
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--- |
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# clasificador-muchocine |
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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 'muchocine' dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3389 |
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- Accuracy: 0.4671 |
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## Model description |
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This model predicts a 1-5 star_rating for a movie based on a short review in Spanish. |
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## Training and evaluation data |
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The model uses the train split of the 'muchocine' dataset, containing 3,872 reviews. |
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## Training procedure |
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The original dataset was randomized and subsequently split into a training set (80%) and a testing set (20%). |
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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 | 1.2937 | 0.4335 | |
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| 1.4261 | 2.0 | 776 | 1.2515 | 0.4839 | |
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| 1.0492 | 3.0 | 1164 | 1.3389 | 0.4671 | |
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### Framework versions |
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- Transformers 4.26.0 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
