---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: deep_project_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. -->

# deep_project_qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5897

## 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: 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   | 250  | 2.2466          |
| 2.664         | 2.0   | 500  | 1.7650          |
| 2.664         | 3.0   | 750  | 1.5998          |
| 1.1831        | 4.0   | 1000 | 1.5617          |
| 1.1831        | 5.0   | 1250 | 1.5897          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1
- Tokenizers 0.11.0