---
tags:
- generated_from_trainer
model-index:
- name: BART_subjqa_model_v1
  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_subjqa_model_v1

This model is a fine-tuned version of [valhalla/bart-large-finetuned-squadv1](https://huggingface.co/valhalla/bart-large-finetuned-squadv1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6023

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 410  | 2.3429          |
| 2.5714        | 2.0   | 820  | 2.5999          |
| 1.837         | 3.0   | 1230 | 2.9671          |
| 1.044         | 4.0   | 1640 | 3.8481          |
| 0.5292        | 5.0   | 2050 | 4.6023          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.0a0+d321be6
- Datasets 2.12.0
- Tokenizers 0.13.3