M3_MLM
This model is a fine-tuned version of SpanBERT/spanbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.8186
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.6707 | 1.0 | 26 | 7.4412 |
| 6.9122 | 2.0 | 52 | 6.3385 |
| 6.2166 | 3.0 | 78 | 5.9148 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1