---
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-distilled-squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-distilled-squad

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0808

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.99  | 138  | 0.0777          |
| No log        | 2.0   | 277  | 0.0624          |
| No log        | 3.0   | 416  | 0.0641          |
| 0.0022        | 3.98  | 552  | 0.0808          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3