metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distil-roberta-qa
results: []
distil-roberta-qa
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2035
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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4583 | 1.0 | 1882 | 1.2882 |
| 1.1301 | 2.0 | 3764 | 1.1917 |
| 0.971 | 3.0 | 5646 | 1.2035 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2