---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mlqa
model-index:
- name: valrad_qa_model
  results: []
---

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# valrad_qa_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the mlqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8117

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 355  | 2.3752          |
| 3.1802        | 2.0   | 710  | 1.8748          |
| 1.6816        | 3.0   | 1065 | 1.8117          |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3