---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: 07-Distilbert-QA-Pytorch-FULL
  results: []
---

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# 07-Distilbert-QA-Pytorch-FULL

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4318

## 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: 3e-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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3852        | 1.0   | 2879  | 1.1969          |
| 0.9964        | 2.0   | 5758  | 1.1476          |
| 0.6919        | 3.0   | 8637  | 1.3000          |
| 0.4694        | 4.0   | 11516 | 1.4318          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3