metadata
license: mit
base_model: roberta-large
tags:
- generated_from_trainer
model-index:
- name: QA-roberta-model2
results: []
QA-roberta-model2
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.0098
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 2 | 6.3049 |
| No log | 2.0 | 4 | 6.2714 |
| No log | 3.0 | 6 | 6.2117 |
| No log | 4.0 | 8 | 6.1256 |
| No log | 5.0 | 10 | 6.0098 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1