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distilr2-lr5e05-wd0.05-bs32
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2793
- Rmse: 0.5285
- Mse: 0.2793
- Mae: 0.4374
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- 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 | Rmse | Mse | Mae |
---|---|---|---|---|---|---|
0.2789 | 1.0 | 623 | 0.2749 | 0.5243 | 0.2749 | 0.4169 |
0.2748 | 2.0 | 1246 | 0.2746 | 0.5240 | 0.2746 | 0.4227 |
0.2727 | 3.0 | 1869 | 0.2793 | 0.5285 | 0.2793 | 0.4374 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1