metadata
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: RobertaLr4e-6Wd0.01
results: []
RobertaLr4e-6Wd0.01
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3311
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: 4e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9613 | 1.0 | 72 | 0.9079 |
| 0.9058 | 2.0 | 144 | 0.6074 |
| 0.3401 | 3.0 | 216 | 0.4686 |
| 0.6134 | 4.0 | 288 | 0.4160 |
| 0.1729 | 5.0 | 360 | 0.3723 |
| 0.4005 | 6.0 | 432 | 0.3841 |
| 0.078 | 7.0 | 504 | 0.3308 |
| 0.1801 | 8.0 | 576 | 0.3295 |
| 0.0084 | 9.0 | 648 | 0.3282 |
| 0.2292 | 10.0 | 720 | 0.3303 |
| 0.1988 | 11.0 | 792 | 0.3346 |
| 0.4473 | 12.0 | 864 | 0.3311 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1