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small-mlm-glue-mrpc-custom-tokenizer-target-glue-mrpc
This model is a fine-tuned version of muhtasham/small-mlm-glue-mrpc-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9134
- Accuracy: 0.7426
- F1: 0.8331
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 | F1 |
|---|---|---|---|---|---|
| 0.4618 | 4.35 | 500 | 0.7546 | 0.7451 | 0.8278 |
| 0.1514 | 8.7 | 1000 | 1.5207 | 0.7230 | 0.8243 |
| 0.068 | 13.04 | 1500 | 1.6613 | 0.7328 | 0.8180 |
| 0.0358 | 17.39 | 2000 | 1.9134 | 0.7426 | 0.8331 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
