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distilbert_Pfinal_4CLASES_2e-5_16_2
fredymad/distilbert_Pfinal_4CLASES_2e-5_16_2
distilbert_Pfinal_4CLASES_2e-5_16_2 is a text classification model from fredymad. 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
- distilbert
- Access
- Public
- Created
- May 30, 2023
- Updated
- Jun 2, 2023
- SHA
- 012a1841
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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. -->
distilbert_Pfinal_4CLASES_2e-5_16_2
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3103
- Accuracy: 0.8987
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4274 | 1.0 | 669 | 0.3094 | 0.8972 |
| 0.2899 | 2.0 | 1338 | 0.3103 | 0.8987 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- May 30, 2023
- Updated
- Jun 2, 2023