---
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
- generated_from_trainer
model-index:
- name: testModel4
  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. -->

# testModel4

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: 0.1312

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3168        | 1.0   | 541  | 0.2721          |
| 0.0011        | 2.0   | 1082 | 0.1897          |
| 0.0123        | 3.0   | 1623 | 0.1486          |
| 0.0206        | 4.0   | 2164 | 0.1452          |
| 0.0001        | 5.0   | 2705 | 0.1268          |
| 0.0005        | 6.0   | 3246 | 0.1280          |
| 0.0001        | 7.0   | 3787 | 0.1296          |
| 1.3317        | 8.0   | 4328 | 0.1317          |
| 0.0001        | 9.0   | 4869 | 0.1320          |
| 0.0066        | 10.0  | 5410 | 0.1312          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.19.1