tiny-mlm-glue-cola-custom-tokenizer-target-glue-sst2
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-cola-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4535
- Accuracy: 0.7959
Model description
More information needed
Intended uses & limitations
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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
- num_epochs: 200
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6748 | 0.24 | 500 | 0.6424 | 0.6468 |
0.5996 | 0.48 | 1000 | 0.5542 | 0.7167 |
0.5172 | 0.71 | 1500 | 0.5001 | 0.7511 |
0.4835 | 0.95 | 2000 | 0.4613 | 0.7741 |
0.4366 | 1.19 | 2500 | 0.4602 | 0.7901 |
0.4127 | 1.43 | 3000 | 0.4334 | 0.8028 |
0.3894 | 1.66 | 3500 | 0.4507 | 0.7867 |
0.3732 | 1.9 | 4000 | 0.4305 | 0.8154 |
0.3646 | 2.14 | 4500 | 0.4369 | 0.8085 |
0.3417 | 2.38 | 5000 | 0.4589 | 0.7947 |
0.3343 | 2.61 | 5500 | 0.4535 | 0.7959 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
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