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clasificador-muchocine
EstherT/clasificador-muchocine
clasificador-muchocine is a text classification model from EstherT. Use it when you need a label for a piece of text. It is set up for transformers.
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the 'muchocine' dataset. It achieves the following results on the evaluation set: - Loss: 1.3389 - Accuracy: 0.4671
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023
- SHA
- 90884eaf
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Datasets
Model card
From the Hugging Face model README
clasificador-muchocine
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the 'muchocine' dataset. It achieves the following results on the evaluation set:
- Loss: 1.3389
- Accuracy: 0.4671
Model description
This model predicts a 1-5 star_rating for a movie based on a short review in Spanish.
Training and evaluation data
The model uses the train split of the 'muchocine' dataset, containing 3,872 reviews.
Training procedure
The original dataset was randomized and subsequently split into a training set (80%) and a testing set (20%).
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 388 | 1.2937 | 0.4335 |
| 1.4261 | 2.0 | 776 | 1.2515 | 0.4839 |
| 1.0492 | 3.0 | 1164 | 1.3389 | 0.4671 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Languages
- es
- Created
- Jan 31, 2023
- Updated
- Jan 31, 2023