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t2e-classifier-v5
st125338/t2e-classifier-v5
t2e-classifier-v5 is a text classification model from st125338. 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
- Apr 16, 2025
- Updated
- Apr 16, 2025
- SHA
- c394b945
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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. -->
t2e-classifier-v5
This model is a fine-tuned version of st125338/t2e-classifier-v4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6272
- Accuracy: 0.8460
- Micro F1: 0.8460
- Macro F1: 0.7382
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Micro F1 | Macro F1 |
|---|---|---|---|---|---|---|
| 0.1958 | 1.0 | 5449 | 0.5376 | 0.8550 | 0.8550 | 0.7363 |
| 0.1533 | 2.0 | 10898 | 0.6241 | 0.8394 | 0.8394 | 0.7368 |
| 0.1638 | 2.9995 | 16344 | 0.6272 | 0.8460 | 0.8460 | 0.7382 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.2.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 16, 2025
- Updated
- Apr 16, 2025