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bert-distilled-single_teacher_mind_epoch07_alpha0.8
This model is a fine-tuned version of ArafatBHossain/distill_bert_fine_tuned_mind on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1023
- Accuracy: 0.9208
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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2937 | 1.0 | 3054 | 0.2652 | 0.8802 |
| 0.2339 | 2.0 | 6108 | 0.2510 | 0.8822 |
| 0.1721 | 3.0 | 9162 | 0.1781 | 0.9038 |
| 0.1284 | 4.0 | 12216 | 0.1450 | 0.9108 |
| 0.0993 | 5.0 | 15270 | 0.1195 | 0.9182 |
| 0.0765 | 6.0 | 18324 | 0.1115 | 0.9172 |
| 0.063 | 7.0 | 21378 | 0.1023 | 0.9208 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.6.1
- Tokenizers 0.12.1
