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---
tags:
- generated_from_trainer
datasets:
- squad
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
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