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small-vanilla-target-glue-rte
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8377
- Accuracy: 0.6390
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: 3e-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: constant
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4103 | 6.41 | 500 | 1.1929 | 0.6318 |
| 0.0583 | 12.82 | 1000 | 2.3816 | 0.6029 |
| 0.0263 | 19.23 | 1500 | 2.7340 | 0.6065 |
| 0.0129 | 25.64 | 2000 | 2.8019 | 0.6354 |
| 0.015 | 32.05 | 2500 | 2.5423 | 0.6426 |
| 0.0168 | 38.46 | 3000 | 2.7661 | 0.6606 |
| 0.0112 | 44.87 | 3500 | 2.8761 | 0.6318 |
| 0.0119 | 51.28 | 4000 | 2.9552 | 0.6426 |
| 0.0163 | 57.69 | 4500 | 2.8377 | 0.6390 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
