<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distil-tis
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6061
- Rmse: 0.7785
- Mse: 0.6061
- Mae: 0.6003
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 |
---|---|---|---|---|---|---|
0.7173 | 1.0 | 492 | 0.7060 | 0.8403 | 0.7060 | 0.5962 |
0.5955 | 2.0 | 984 | 0.6585 | 0.8115 | 0.6585 | 0.5864 |
0.5876 | 3.0 | 1476 | 0.6090 | 0.7804 | 0.6090 | 0.6040 |
0.5871 | 4.0 | 1968 | 0.6247 | 0.7904 | 0.6247 | 0.5877 |
0.5871 | 5.0 | 2460 | 0.6061 | 0.7785 | 0.6061 | 0.6003 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1