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clasificador-muchocine
esoria3/clasificador-muchocine
clasificador-muchocine is a text classification model from esoria3. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Feb 4, 2023
- Updated
- Feb 4, 2023
- SHA
- a90c47a0
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
clasificador-muchocine
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3601
- Accuracy: 0.4826
Model description
Predict of cinema reviews.
Intended uses & limitations
Trained as part of machine learning module at university.
Training and evaluation data
Small project.
Training procedure
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 | 1.3546 | 0.4284 |
| 1.3676 | 2.0 | 776 | 1.2768 | 0.4723 |
| 0.9726 | 3.0 | 1164 | 1.3601 | 0.4826 |
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
- Feb 4, 2023
- Updated
- Feb 4, 2023