---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v2_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_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: 0.5576
- Sacrebleu: 66.4785

## 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: 3e-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: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 109  | 0.5576          | 66.4785   |
| No log        | 2.0   | 219  | 0.5702          | 67.0151   |
| No log        | 3.0   | 328  | 0.6206          | 66.8798   |
| No log        | 4.0   | 438  | 0.5778          | 66.8869   |
| No log        | 5.0   | 547  | 0.6484          | 66.8013   |
| No log        | 6.0   | 657  | 0.6747          | 66.6138   |
| No log        | 7.0   | 766  | 0.7132          | 66.6173   |
| No log        | 8.0   | 876  | 0.6951          | 66.4205   |
| No log        | 9.0   | 985  | 0.7322          | 66.3405   |
| No log        | 10.0  | 1095 | 0.7953          | 66.5709   |
| No log        | 11.0  | 1204 | 0.8137          | 66.5324   |
| No log        | 12.0  | 1314 | 0.8207          | 66.4973   |
| No log        | 13.0  | 1423 | 0.8155          | 66.4712   |
| No log        | 14.0  | 1533 | 0.8471          | 66.3456   |
| No log        | 15.0  | 1642 | 0.8629          | 66.5794   |
| No log        | 16.0  | 1752 | 0.9267          | 66.4444   |
| No log        | 17.0  | 1861 | 0.9317          | 66.5137   |
| No log        | 18.0  | 1971 | 0.9020          | 66.6691   |
| No log        | 19.0  | 2080 | 0.9256          | 66.6756   |
| No log        | 20.0  | 2190 | 0.9645          | 66.5470   |
| No log        | 21.0  | 2299 | 1.0415          | 66.7197   |
| No log        | 22.0  | 2409 | 1.1270          | 66.7086   |
| No log        | 23.0  | 2518 | 1.0326          | 66.7326   |
| No log        | 24.0  | 2628 | 1.0989          | 66.7648   |
| No log        | 25.0  | 2737 | 1.0835          | 66.4847   |
| No log        | 26.0  | 2847 | 1.1915          | 66.7088   |
| No log        | 27.0  | 2956 | 1.0516          | 66.6612   |
| No log        | 28.0  | 3066 | 1.1104          | 66.6799   |
| No log        | 29.0  | 3175 | 1.1811          | 66.6797   |
| No log        | 30.0  | 3285 | 1.1143          | 66.7554   |
| No log        | 31.0  | 3394 | 1.0420          | 66.6538   |
| No log        | 32.0  | 3504 | 1.0547          | 66.6668   |
| No log        | 33.0  | 3613 | 1.0992          | 66.5995   |
| No log        | 34.0  | 3723 | 1.0931          | 66.6379   |
| No log        | 35.0  | 3832 | 1.0891          | 66.7616   |
| No log        | 36.0  | 3942 | 1.1421          | 66.7893   |
| No log        | 37.0  | 4051 | 1.1487          | 66.7630   |
| No log        | 38.0  | 4161 | 1.1538          | 66.7861   |
| No log        | 39.0  | 4270 | 1.1793          | 66.7983   |
| No log        | 39.82 | 4360 | 1.1620          | 66.7433   |


### Framework versions

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