---
tags:
- generated_from_trainer
datasets:
- mlqa
model-index:
- name: diff_model
  results: []
---

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

This model is a fine-tuned version of [huggingface-course/bert-finetuned-squad](https://huggingface.co/huggingface-course/bert-finetuned-squad) on the mlqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1014

## 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  | 0.8941          |
| 0.931         | 2.0   | 710  | 0.9768          |
| 0.4794        | 3.0   | 1065 | 1.1014          |


### Framework versions

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