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dlub-2022-mlm-full
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.4308
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
9.7809 | 1.0 | 21 | 9.4572 |
9.4021 | 2.0 | 42 | 9.2312 |
9.1448 | 3.0 | 63 | 9.0206 |
8.9608 | 4.0 | 84 | 8.8606 |
8.8125 | 5.0 | 105 | 8.6954 |
8.6717 | 6.0 | 126 | 8.5819 |
8.5944 | 7.0 | 147 | 8.5012 |
8.5245 | 8.0 | 168 | 8.4900 |
8.4856 | 9.0 | 189 | 8.4448 |
8.4563 | 10.0 | 210 | 8.4308 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1