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tiny-mlm-snli-target-glue-stsb
This model is a fine-tuned version of muhtasham/tiny-mlm-snli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9081
- Pearson: 0.8117
- Spearmanr: 0.8078
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 | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 3.2807 | 2.78 | 500 | 1.2841 | 0.6694 | 0.6877 |
| 1.1742 | 5.56 | 1000 | 1.0700 | 0.7574 | 0.7698 |
| 0.8491 | 8.33 | 1500 | 0.9843 | 0.7918 | 0.7951 |
| 0.6909 | 11.11 | 2000 | 0.8178 | 0.8113 | 0.8070 |
| 0.5773 | 13.89 | 2500 | 0.8630 | 0.8127 | 0.8090 |
| 0.5095 | 16.67 | 3000 | 0.9598 | 0.8122 | 0.8106 |
| 0.4454 | 19.44 | 3500 | 0.8550 | 0.8159 | 0.8118 |
| 0.3945 | 22.22 | 4000 | 0.9033 | 0.8122 | 0.8080 |
| 0.357 | 25.0 | 4500 | 0.9651 | 0.8129 | 0.8091 |
| 0.3329 | 27.78 | 5000 | 0.9081 | 0.8117 | 0.8078 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
