---
license: apache-2.0
base_model: Felipegq/my_awesome_qa_model
tags:
- generated_from_trainer
model-index:
- name: my_awesome_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. -->

# my_awesome_qa_model

This model is a fine-tuned version of [Felipegq/my_awesome_qa_model](https://huggingface.co/Felipegq/my_awesome_qa_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3233

## 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: 0.0002760933193649114
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 5    | 2.2264          |
| No log        | 2.0   | 10   | 2.9625          |
| No log        | 3.0   | 15   | 3.0633          |
| No log        | 4.0   | 20   | 3.3233          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1