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M4_MLM_cross
This model is a fine-tuned version of S2312dal/M4_MLM on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0222
- Pearson: 0.9472
- Spearmanr: 0.8983
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 25
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8.0
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
|---|---|---|---|---|---|
| 0.0353 | 1.0 | 131 | 0.0590 | 0.8326 | 0.8225 |
| 0.0478 | 2.0 | 262 | 0.0368 | 0.9234 | 0.8894 |
| 0.0256 | 3.0 | 393 | 0.0222 | 0.9472 | 0.8983 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
