---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v3
  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. -->

# model_v3

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0664
- Sacrebleu: 66.6476

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 218  | 0.5750          | 66.6584   |
| No log        | 2.0   | 437  | 0.5581          | 66.9419   |
| No log        | 3.0   | 656  | 0.5662          | 66.8166   |
| No log        | 4.0   | 875  | 0.6339          | 66.8911   |
| No log        | 5.0   | 1093 | 0.6190          | 66.4260   |
| No log        | 6.0   | 1312 | 0.6760          | 66.7698   |
| No log        | 7.0   | 1531 | 0.6708          | 66.7328   |
| No log        | 8.0   | 1750 | 0.7686          | 66.6153   |
| No log        | 9.0   | 1968 | 0.7157          | 66.7670   |
| No log        | 10.0  | 2187 | 0.7567          | 66.6510   |
| No log        | 11.0  | 2406 | 0.7699          | 66.5710   |
| No log        | 12.0  | 2625 | 0.8145          | 66.7658   |
| No log        | 13.0  | 2843 | 0.8292          | 66.4557   |
| No log        | 14.0  | 3062 | 0.8610          | 66.7477   |
| No log        | 15.0  | 3281 | 0.8962          | 66.4487   |
| No log        | 16.0  | 3500 | 0.9000          | 66.6798   |
| No log        | 17.0  | 3718 | 0.9376          | 66.5672   |
| No log        | 18.0  | 3937 | 0.8907          | 66.6538   |
| No log        | 19.0  | 4156 | 0.8829          | 66.5278   |
| No log        | 20.0  | 4375 | 0.9925          | 66.5495   |
| No log        | 21.0  | 4593 | 0.9656          | 66.5410   |
| No log        | 22.0  | 4812 | 0.9721          | 66.4741   |
| No log        | 23.0  | 5031 | 0.9778          | 66.6736   |
| No log        | 24.0  | 5250 | 1.0032          | 66.5801   |
| No log        | 25.0  | 5468 | 1.0808          | 66.6122   |
| No log        | 26.0  | 5687 | 1.0403          | 66.7292   |
| No log        | 27.0  | 5906 | 1.0388          | 66.5946   |
| No log        | 28.0  | 6125 | 1.0707          | 66.6240   |
| No log        | 29.0  | 6343 | 1.0356          | 66.7184   |
| No log        | 29.9  | 6540 | 1.0664          | 66.6476   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2