---
library_name: transformers
license: apache-2.0
base_model: KienLe21/demo_qa_model
tags:
- generated_from_trainer
model-index:
- name: roberta_qa_model
  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. -->

# roberta_qa_model

This model is a fine-tuned version of [KienLe21/demo_qa_model](https://huggingface.co/KienLe21/demo_qa_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6229

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8673        | 1.0   | 750  | 1.4282          |
| 0.5234        | 2.0   | 1500 | 1.4702          |
| 0.3968        | 3.0   | 2250 | 1.6229          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0