winzo_feature_classifier_lowercase
This model is a fine-tuned version of knowledgator/comprehend_it-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0379
- Accuracy: 0.9873
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0639 | 1.0 | 14345 | 0.0698 | 0.9813 |
| 0.0328 | 2.0 | 28690 | 0.0416 | 0.9871 |
| 0.0286 | 3.0 | 43035 | 0.0379 | 0.9873 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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Model tree for Sanjay679/winzo_feature_classifier_lowercase
Base model
knowledgator/comprehend_it-base