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modelaso_test
JorgePVNV/modelaso_test
modelaso_test is a text classification model from JorgePVNV. 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
- roberta
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- ed9ffc6b
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Base models
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. -->
modelaso_test
This model is a fine-tuned version of pysentimiento/roberta-es-sentiment on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0206
- F1: 0.8165
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0007 | 1.0 | 21 | 2.5890 | 0.7191 |
| 0.0357 | 2.0 | 42 | 1.9822 | 0.8070 |
| 0.0001 | 3.0 | 63 | 2.0206 | 0.8165 |
| 0.0 | 4.0 | 84 | 2.2104 | 0.7580 |
| 0.0 | 5.0 | 105 | 2.2600 | 0.7580 |
| 0.0 | 6.0 | 126 | 2.2585 | 0.7580 |
| 0.0 | 7.0 | 147 | 2.2720 | 0.7580 |
| 0.0 | 8.0 | 168 | 2.2812 | 0.7580 |
| 0.0 | 9.0 | 189 | 2.2841 | 0.7580 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024