metadata
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_health_qa_model_35
results: []
my_awesome_health_qa_model_35
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: 1.6853
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: 1e-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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0951 | 1.0 | 684 | 0.9796 |
| 0.9192 | 2.0 | 1368 | 0.9770 |
| 0.6985 | 3.0 | 2052 | 1.0302 |
| 0.6022 | 4.0 | 2736 | 1.0688 |
| 0.5343 | 5.0 | 3420 | 1.2046 |
| 0.4185 | 6.0 | 4104 | 1.2701 |
| 0.362 | 7.0 | 4788 | 1.3791 |
| 0.3206 | 8.0 | 5472 | 1.4673 |
| 0.2622 | 9.0 | 6156 | 1.5769 |
| 0.2543 | 10.0 | 6840 | 1.6076 |
| 0.2142 | 11.0 | 7524 | 1.6842 |
| 0.2051 | 12.0 | 8208 | 1.6853 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1