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fine_tuned_new_mage_cmv
EndLessTime/fine_tuned_new_mage_cmv
fine_tuned_new_mage_cmv is a text classification model from EndLessTime. 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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1.5B
6.2 GB on disk
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Feb 22, 2025
- Updated
- Feb 22, 2025
- SHA
- 641a46ff
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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. -->
fine_tuned_new_mage_cmv
This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2763
- Accuracy: 0.9460
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
- 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 |
|---|---|---|---|---|
| 1.2255 | 0.0361 | 100 | 0.2722 | 0.8960 |
| 0.32 | 0.0722 | 200 | 0.3347 | 0.9326 |
| 0.2638 | 0.1083 | 300 | 0.1909 | 0.9606 |
| 0.4198 | 0.1445 | 400 | 0.2482 | 0.9216 |
| 0.2123 | 0.1806 | 500 | 0.5727 | 0.9123 |
| 0.1887 | 0.2167 | 600 | 0.2763 | 0.9460 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Feb 22, 2025
- Updated
- Feb 22, 2025