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teacher_sst2_laroseda
mateiaassAI/teacher_sst2_laroseda
teacher_sst2_laroseda 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 17, 2024
- Updated
- Oct 17, 2024
- SHA
- c11b1ff8
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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_sst2_laroseda
This model is a fine-tuned version of mateiaassAI/teacher_sst2 on the laroseda dataset. It achieves the following results on the evaluation set:
- Loss: 0.1906
- F1: 0.9490
- Roc Auc: 0.9490
- Accuracy: 0.949
- Precision: 0.9491
- Recall: 0.949
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: 1.7e-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 |
|---|---|---|---|---|---|---|---|---|
| 0.1799 | 1.0 | 688 | 0.1426 | 0.9435 | 0.9434 | 0.943 | 0.9441 | 0.943 |
| 0.1071 | 2.0 | 1376 | 0.1906 | 0.9490 | 0.9490 | 0.949 | 0.9491 | 0.949 |
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 17, 2024
- Updated
- Oct 17, 2024