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mpnet-classification-10ksamples
This model is a fine-tuned version of microsoft/mpnet-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1894
- Accuracy: 0.9683
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: 5e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1426 | 1.0 | 1250 | 0.3418 | 0.9266 |
| 0.0229 | 2.0 | 2500 | 0.1894 | 0.9683 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
