---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v6
  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_v6

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: 0.5649
- Sacrebleu: 66.4771

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| 0.5945        | 1.0   | 875  | 0.6579          | 63.2549   |
| 0.3681        | 2.0   | 1750 | 0.5965          | 65.0373   |
| 0.3426        | 3.0   | 2625 | 0.5690          | 65.4761   |
| 0.3215        | 4.0   | 3500 | 0.5700          | 65.8510   |
| 0.3084        | 5.0   | 4375 | 0.5637          | 66.2262   |
| 0.3051        | 6.0   | 5250 | 0.5657          | 66.4077   |
| 0.2908        | 7.0   | 6125 | 0.5682          | 66.4705   |
| 0.2868        | 8.0   | 7000 | 0.5661          | 66.4620   |
| 0.2795        | 9.0   | 7875 | 0.5761          | 66.5109   |
| 0.2832        | 10.0  | 8750 | 0.5649          | 66.4771   |


### Framework versions

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