metadata
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: testModel3
results: []
testModel3
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: 0.1317
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: 4.736874483017473e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.466 | 1.0 | 541 | 0.2687 |
| 0.0012 | 2.0 | 1082 | 0.1855 |
| 0.0153 | 3.0 | 1623 | 0.1447 |
| 0.0065 | 4.0 | 2164 | 0.1440 |
| 0.0001 | 5.0 | 2705 | 0.1227 |
| 0.0004 | 6.0 | 3246 | 0.1236 |
| 0.0001 | 7.0 | 3787 | 0.1267 |
| 1.4266 | 8.0 | 4328 | 0.1313 |
| 0.0001 | 9.0 | 4869 | 0.1320 |
| 0.0093 | 10.0 | 5410 | 0.1317 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.19.1