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small-vanilla-target-glue-sst2
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: 0.3845
- Accuracy: 0.8796
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 |
|---|---|---|---|---|
| 0.4056 | 0.24 | 500 | 0.3581 | 0.8383 |
| 0.3081 | 0.48 | 1000 | 0.3352 | 0.8452 |
| 0.2595 | 0.71 | 1500 | 0.3538 | 0.8555 |
| 0.2417 | 0.95 | 2000 | 0.2987 | 0.8830 |
| 0.1909 | 1.19 | 2500 | 0.3467 | 0.8796 |
| 0.1704 | 1.43 | 3000 | 0.3966 | 0.8704 |
| 0.1687 | 1.66 | 3500 | 0.3845 | 0.8796 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
