---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: squad_distil_bert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# squad_distil_bert

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: 1.9852

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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   | 13   | 3.8482          |
| No log        | 2.0   | 26   | 2.8740          |
| No log        | 3.0   | 39   | 2.4083          |
| No log        | 4.0   | 52   | 2.1060          |
| No log        | 5.0   | 65   | 1.9852          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Tokenizers 0.15.1