<!-- 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. -->
bert-large-uncased-finetuned-DA-Zero-shot-20
This model is a fine-tuned version of bert-large-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0118
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6214 | 1.0 | 435 | 1.1818 |
| 0.6285 | 2.0 | 870 | 1.2124 |
| 0.713 | 3.0 | 1305 | 1.1673 |
| 0.7902 | 4.0 | 1740 | 1.1342 |
| 0.8051 | 5.0 | 2175 | 1.1042 |
| 0.8167 | 6.0 | 2610 | 1.1086 |
| 0.8412 | 7.0 | 3045 | 1.0797 |
| 0.8885 | 8.0 | 3480 | 1.0575 |
| 0.918 | 9.0 | 3915 | 1.0749 |
| 0.9765 | 10.0 | 4350 | 1.0565 |
| 1.0009 | 11.0 | 4785 | 1.0509 |
| 0.986 | 12.0 | 5220 | 1.0564 |
| 0.9819 | 13.0 | 5655 | 1.0527 |
| 0.9786 | 14.0 | 6090 | 1.0064 |
| 0.9689 | 15.0 | 6525 | 1.0038 |
| 0.9481 | 16.0 | 6960 | 1.0186 |
| 0.955 | 17.0 | 7395 | 0.9860 |
| 0.9481 | 18.0 | 7830 | 0.9914 |
| 0.9452 | 19.0 | 8265 | 1.0173 |
| 0.9452 | 20.0 | 8700 | 1.0050 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
