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teacher_ag-news
mateiaassAI/teacher_ag-news
teacher_ag-news 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 22, 2024
- Updated
- Nov 3, 2024
- SHA
- 4ec5a08a
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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. -->
teacher_ag-news
This model is a fine-tuned version of dumitrescustefan/bert-base-romanian-cased-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0889
- F1: 0.9420
- Roc Auc: 0.9610
- Accuracy: 0.9392
- Precision: 0.9432
- Recall: 0.9409
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 |
|---|---|---|---|---|---|---|---|---|
| 0.1005 | 1.0 | 7500 | 0.0952 | 0.9356 | 0.9569 | 0.9312 | 0.9362 | 0.9351 |
| 0.068 | 2.0 | 15000 | 0.0889 | 0.9420 | 0.9610 | 0.9392 | 0.9432 | 0.9409 |
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 22, 2024
- Updated
- Nov 3, 2024