tiny-classification-fast
This model is a fine-tuned version of cross-encoder/ms-marco-TinyBERT-L-2-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8673
- Accuracy: 0.7786
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: 64
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|
| 1.9077 | 1.0 | 785 | 1.0466 | 0.7482 |
| 1.0061 | 2.0 | 1570 | 0.8673 | 0.7786 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2