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best-multi-multiCLS
Mike00vito/best-multi-multiCLS
best-multi-multiCLS is a text classification model from Mike00vito. 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
- May 6, 2023
- Updated
- May 6, 2023
- SHA
- 31851ab0
Try a prompt
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. -->
prova-multi-multi
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3772
- F1 Score: 0.8551
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| No log | 1.0 | 81 | 2.3118 | 0.8617 |
| No log | 2.0 | 162 | 2.3772 | 0.8551 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- May 6, 2023
- Updated
- May 6, 2023