---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- learn3r/squad_with_test
model-index:
- name: bart_base_qgen
  results: []
---

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

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/squad_with_test dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4211

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7237        | 1.0   | 171  | 1.5064          |
| 1.5995        | 2.0   | 342  | 1.4698          |
| 1.5289        | 3.0   | 513  | 1.4482          |
| 1.5082        | 4.0   | 684  | 1.4363          |
| 1.4782        | 5.0   | 855  | 1.4286          |
| 1.4084        | 6.0   | 1026 | 1.4265          |
| 1.4229        | 6.99  | 1197 | 1.4239          |
| 1.4           | 8.0   | 1369 | 1.4211          |
| 1.3865        | 9.0   | 1540 | 1.4215          |
| 1.3871        | 9.99  | 1710 | 1.4219          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.8.0
- Tokenizers 0.12.1