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roberta-academic
asquevedos/roberta-academic
roberta-academic is a text classification model from asquevedos. 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
- bert
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024
- SHA
- 46be171a
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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. -->
roberta-academic
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1070
- Accuracy: 0.9692
- F1: 0.9687
- Precision: 0.9692
- Recall: 0.9692
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: 34
- eval_batch_size: 34
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3143 | 1.0 | 10831 | 0.2892 | 0.9106 | 0.9070 | 0.9137 | 0.9106 |
| 0.2042 | 2.0 | 21662 | 0.1880 | 0.9388 | 0.9366 | 0.9415 | 0.9388 |
| 0.121 | 3.0 | 32493 | 0.1437 | 0.9552 | 0.9545 | 0.9560 | 0.9552 |
| 0.0843 | 4.0 | 43324 | 0.1152 | 0.9655 | 0.9651 | 0.9658 | 0.9655 |
| 0.049 | 5.0 | 54155 | 0.1070 | 0.9692 | 0.9687 | 0.9692 | 0.9692 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024