---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v5_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_v5_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: 0.5446
- Sacrebleu: 66.8833

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 109  | 0.5768          | 65.2132   |
| No log        | 2.0   | 219  | 0.5885          | 66.1069   |
| No log        | 3.0   | 328  | 0.5681          | 66.6363   |
| No log        | 4.0   | 438  | 0.5766          | 66.7355   |
| No log        | 5.0   | 547  | 0.5446          | 66.8833   |
| No log        | 6.0   | 657  | 0.5664          | 66.9772   |
| No log        | 7.0   | 766  | 0.5890          | 67.0638   |
| No log        | 8.0   | 876  | 0.6305          | 67.0642   |
| No log        | 9.0   | 985  | 0.6091          | 67.0855   |
| No log        | 10.0  | 1095 | 0.5990          | 67.1479   |
| No log        | 11.0  | 1204 | 0.6375          | 67.0056   |
| No log        | 12.0  | 1314 | 0.6182          | 67.0154   |
| No log        | 13.0  | 1423 | 0.6216          | 66.9095   |
| No log        | 14.0  | 1533 | 0.6204          | 67.1035   |
| No log        | 15.0  | 1642 | 0.6623          | 66.8847   |
| No log        | 16.0  | 1752 | 0.6614          | 67.0027   |
| No log        | 17.0  | 1861 | 0.6801          | 66.9272   |
| No log        | 18.0  | 1971 | 0.6500          | 66.9428   |
| No log        | 19.0  | 2080 | 0.6529          | 66.8661   |
| No log        | 19.91 | 2180 | 0.6514          | 66.8420   |


### Framework versions

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