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teacher_agnews_moroco
mateiaassAI/teacher_agnews_moroco
teacher_agnews_moroco is a text classification model from mateiaassAI. 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
- bert
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Nov 4, 2024
- SHA
- 62a2e837
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Base models
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. -->
teacher_agnews_moroco
This model is a fine-tuned version of mateiaassAI/teacher_ag-news on the moroco dataset. It achieves the following results on the evaluation set:
- Loss: 0.0951
- F1: 0.8735
- Roc Auc: None
- Accuracy: 0.8549
- Precision: 0.8764
- Recall: 0.8708
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 | F1 | Roc Auc | Accuracy | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 0.1163 | 1.0 | 1358 | 0.0982 | 0.8669 | None | 0.8505 | 0.8830 | 0.8523 |
| 0.0812 | 2.0 | 2716 | 0.0951 | 0.8735 | None | 0.8549 | 0.8764 | 0.8708 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Oct 23, 2024
- Updated
- Nov 4, 2024