---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: bart-base-2024-09-24_11-12
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bart-base-2024-09-24_11-12

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the arrow dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1993
- Gen Len: 20.0
- Bertscorer-p: 0.5928
- Bertscorer-r: 0.1701
- Bertscorer-f1: 0.3731
- Sacrebleu-score: 10.2541
- Sacrebleu-precisions: [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592]
- Bleu-bp: 0.1350

## 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: 0.0003
- 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions                                                         | Bleu-bp |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------------:|:------------:|:-------------:|:---------------:|:----------------------------------------------------------------------------:|:-------:|
| 0.189         | 1.0   | 4772 | 0.1993          | 20.0    | 0.5928       | 0.1701       | 0.3731        | 10.2541         | [90.63003300856309, 79.05155386114873, 70.66565212490137, 65.68935823527592] | 0.1350  |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1