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distil-i
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6252
- Rmse: 0.7907
- Mse: 0.6252
- Mae: 0.6061
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: 32
- eval_batch_size: 32
- 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 |
---|---|---|---|---|---|---|
0.7417 | 1.0 | 492 | 0.7164 | 0.8464 | 0.7164 | 0.5983 |
0.5948 | 2.0 | 984 | 0.6469 | 0.8043 | 0.6469 | 0.5840 |
0.5849 | 3.0 | 1476 | 0.6068 | 0.7790 | 0.6068 | 0.6027 |
0.5839 | 4.0 | 1968 | 0.6220 | 0.7887 | 0.6220 | 0.5847 |
0.5786 | 5.0 | 2460 | 0.6252 | 0.7907 | 0.6252 | 0.6061 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1