---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v1e_5_8_8_4
  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_v1e_5_8_8_4

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: 0.5522
- Sacrebleu: 66.9834

## 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: 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|:-------------:|:-----:|:----:|:---------------:|:---------:|
| No log        | 1.0   | 218  | 0.5616          | 66.0295   |
| No log        | 2.0   | 437  | 0.5691          | 66.6355   |
| No log        | 3.0   | 656  | 0.5544          | 66.8901   |
| No log        | 4.0   | 875  | 0.5522          | 66.9834   |
| No log        | 5.0   | 1093 | 0.5686          | 67.0746   |
| No log        | 6.0   | 1312 | 0.5995          | 67.1015   |
| No log        | 7.0   | 1531 | 0.5663          | 67.1106   |
| No log        | 8.0   | 1750 | 0.5860          | 67.0824   |
| No log        | 9.0   | 1968 | 0.6075          | 67.1805   |
| No log        | 9.97  | 2180 | 0.6105          | 67.1350   |


### Framework versions

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