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---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: testModel2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# testModel2
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1310
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3468 | 1.0 | 541 | 0.2686 |
| 0.0012 | 2.0 | 1082 | 0.1894 |
| 0.0133 | 3.0 | 1623 | 0.1489 |
| 0.0213 | 4.0 | 2164 | 0.1437 |
| 0.0001 | 5.0 | 2705 | 0.1232 |
| 0.0006 | 6.0 | 3246 | 0.1248 |
| 0.0001 | 7.0 | 3787 | 0.1271 |
| 1.2502 | 8.0 | 4328 | 0.1285 |
| 0.0001 | 9.0 | 4869 | 0.1317 |
| 0.027 | 10.0 | 5410 | 0.1310 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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