metadata
license: mit
tags:
- generated_from_trainer
datasets:
- quoref
model-index:
- name: roberta-base_mod_quoref
results: []
roberta-base_mod_quoref
This model is a fine-tuned version of damapika/roberta-base_mod_squad on the quoref dataset. It achieves the following results on the evaluation set:
- Loss: 1.5566
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: 3e-05
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1263 | 1.0 | 1213 | 1.2665 |
| 0.7404 | 2.0 | 2426 | 1.3567 |
| 0.5172 | 3.0 | 3639 | 1.5566 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3