---
tags:
- generated_from_trainer
datasets:
- squad
base_model: valhalla/bart-large-finetuned-squadv1
model-index:
- name: BART
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# BART

This model is a fine-tuned version of [valhalla/bart-large-finetuned-squadv1](https://huggingface.co/valhalla/bart-large-finetuned-squadv1) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1706

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 40   | 0.2413          |
| No log        | 2.0   | 80   | 0.1528          |
| No log        | 3.0   | 120  | 0.1706          |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3