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final_classification
nizarh1999/final_classification
final_classification is a text classification model from nizarh1999. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024
- SHA
- b734b491
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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. -->
final_classification
This model is a fine-tuned version of yhavinga/t5-small-24L-ccmatrix-multi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0945
- F1: {'f1': 0.9405940594059407}
- Precision: {'precision': 0.9134615384615384}
- Recall: {'recall': 0.9693877551020408}
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: 0.0001
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall |
|---|---|---|---|---|---|---|
| No log | 1.0 | 110 | 0.2338 | {'f1': 0.6845637583892618} | {'precision': 1.0} | {'recall': 0.5204081632653061} |
| No log | 2.0 | 220 | 0.0828 | {'f1': 0.9387755102040817} | {'precision': 0.9387755102040817} | {'recall': 0.9387755102040817} |
| No log | 3.0 | 330 | 0.0891 | {'f1': 0.9359605911330049} | {'precision': 0.9047619047619048} | {'recall': 0.9693877551020408} |
| No log | 4.0 | 440 | 0.0744 | {'f1': 0.95} | {'precision': 0.9313725490196079} | {'recall': 0.9693877551020408} |
| 0.1529 | 5.0 | 550 | 0.1012 | {'f1': 0.9405940594059407} | {'precision': 0.9134615384615384} | {'recall': 0.9693877551020408} |
| 0.1529 | 6.0 | 660 | 0.0945 | {'f1': 0.9405940594059407} | {'precision': 0.9134615384615384} | {'recall': 0.9693877551020408} |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024