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sa_bert_12_layer_modified_complete_training_120
This model is a fine-tuned version of gokuls/sa_bert_12_layer_modified_complete_training_72_v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3994
- Accuracy: 0.5626
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: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.9291 | 0.05 | 10000 | 2.7772 | 0.5161 |
| 2.8002 | 0.11 | 20000 | 2.7374 | 0.5210 |
| 2.6962 | 0.16 | 30000 | 2.6995 | 0.5256 |
| 2.6628 | 0.22 | 40000 | 2.6681 | 0.5296 |
| 2.7735 | 0.27 | 50000 | 2.6399 | 0.5332 |
| 2.6821 | 0.33 | 60000 | 2.6079 | 0.5366 |
| 2.6073 | 0.38 | 70000 | 2.5830 | 0.5397 |
| 2.6742 | 0.44 | 80000 | 2.5624 | 0.5422 |
| 2.8162 | 0.49 | 90000 | 2.5432 | 0.5446 |
| 2.5049 | 0.55 | 100000 | 2.5162 | 0.5480 |
| 2.4234 | 0.6 | 110000 | 2.4994 | 0.5503 |
| 2.4579 | 0.66 | 120000 | 2.4774 | 0.5526 |
| 2.6148 | 0.71 | 130000 | 2.4625 | 0.5546 |
| 2.6577 | 0.76 | 140000 | 2.4448 | 0.5566 |
| 2.4826 | 0.82 | 150000 | 2.4310 | 0.5589 |
| 2.5313 | 0.87 | 160000 | 2.4112 | 0.5608 |
| 2.636 | 0.93 | 170000 | 2.3994 | 0.5626 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.13.1
- Tokenizers 0.13.3
