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Sentimiento-appmovilesdisbert
misaza/Sentimiento-appmovilesdisbert
Sentimiento-appmovilesdisbert is a text classification model from misaza. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- ace21fd9
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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. -->
Sentimiento-appmovilesdisbert
This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2914
- Accuracy: 0.9187
- F1: 0.8375
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 332 | 0.2914 | 0.9187 | 0.8375 |
| 0.3391 | 2.0 | 664 | 0.3134 | 0.9307 | 0.8285 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 8, 2024
- Updated
- May 8, 2024