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clasificador-tweets-sentiment
andres9824/clasificador-tweets-sentiment
clasificador-tweets-sentiment is a text classification model from andres9824. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023
- SHA
- 595db695
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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-tweets-sentiment
This model is a fine-tuned version of roberta-base on the tweet_eval dataset. It achieves the following results on the evaluation set:
- Loss: 2.2588
- Accuracy: 0.4987
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4973 | 1.0 | 1125 | 1.2580 | 0.4502 |
| 0.4024 | 2.0 | 2250 | 1.9509 | 0.4832 |
| 0.3159 | 3.0 | 3375 | 2.2588 | 0.4987 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jun 11, 2023
- Updated
- Jun 11, 2023