---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v2
  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_v2

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: 1.2418
- Sacrebleu: 66.7409

## 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: 5e-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  | 0.6656          | 66.6707   |
| No log        | 2.0   | 437  | 0.5851          | 66.5767   |
| No log        | 3.0   | 656  | 0.6062          | 66.4734   |
| No log        | 4.0   | 875  | 0.7029          | 66.5944   |
| No log        | 5.0   | 1093 | 0.6852          | 66.0086   |
| No log        | 6.0   | 1312 | 0.7471          | 66.0534   |
| No log        | 7.0   | 1531 | 0.8938          | 66.1986   |
| No log        | 8.0   | 1750 | 0.8834          | 66.4626   |
| No log        | 9.0   | 1968 | 0.8895          | 66.4292   |
| No log        | 10.0  | 2187 | 0.8824          | 66.0577   |
| No log        | 11.0  | 2406 | 0.8781          | 66.5076   |
| No log        | 12.0  | 2625 | 0.9870          | 66.5564   |
| No log        | 13.0  | 2843 | 1.1580          | 66.5116   |
| No log        | 14.0  | 3062 | 0.9797          | 66.3801   |
| No log        | 15.0  | 3281 | 1.0680          | 66.2748   |
| No log        | 16.0  | 3500 | 1.0113          | 66.5282   |
| No log        | 17.0  | 3718 | 1.0023          | 66.5794   |
| No log        | 18.0  | 3937 | 1.0753          | 66.2935   |
| No log        | 19.0  | 4156 | 1.0462          | 66.5036   |
| No log        | 20.0  | 4375 | 1.0934          | 66.7931   |
| No log        | 21.0  | 4593 | 1.1732          | 66.5171   |
| No log        | 22.0  | 4812 | 1.1892          | 66.4821   |
| No log        | 23.0  | 5031 | 1.2766          | 66.5913   |
| No log        | 24.0  | 5250 | 1.2392          | 66.5476   |
| No log        | 25.0  | 5468 | 1.3452          | 66.5616   |
| No log        | 26.0  | 5687 | 1.1427          | 66.7916   |
| No log        | 27.0  | 5906 | 1.1809          | 66.9823   |
| No log        | 28.0  | 6125 | 1.2310          | 66.7958   |
| No log        | 29.0  | 6343 | 1.2147          | 66.7948   |
| No log        | 29.9  | 6540 | 1.2418          | 66.7409   |


### Framework versions

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