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---
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v3
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_v3
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: 1.0664
- Sacrebleu: 66.6476
## 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: 2e-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 | 0.5750 | 66.6584 |
| No log | 2.0 | 437 | 0.5581 | 66.9419 |
| No log | 3.0 | 656 | 0.5662 | 66.8166 |
| No log | 4.0 | 875 | 0.6339 | 66.8911 |
| No log | 5.0 | 1093 | 0.6190 | 66.4260 |
| No log | 6.0 | 1312 | 0.6760 | 66.7698 |
| No log | 7.0 | 1531 | 0.6708 | 66.7328 |
| No log | 8.0 | 1750 | 0.7686 | 66.6153 |
| No log | 9.0 | 1968 | 0.7157 | 66.7670 |
| No log | 10.0 | 2187 | 0.7567 | 66.6510 |
| No log | 11.0 | 2406 | 0.7699 | 66.5710 |
| No log | 12.0 | 2625 | 0.8145 | 66.7658 |
| No log | 13.0 | 2843 | 0.8292 | 66.4557 |
| No log | 14.0 | 3062 | 0.8610 | 66.7477 |
| No log | 15.0 | 3281 | 0.8962 | 66.4487 |
| No log | 16.0 | 3500 | 0.9000 | 66.6798 |
| No log | 17.0 | 3718 | 0.9376 | 66.5672 |
| No log | 18.0 | 3937 | 0.8907 | 66.6538 |
| No log | 19.0 | 4156 | 0.8829 | 66.5278 |
| No log | 20.0 | 4375 | 0.9925 | 66.5495 |
| No log | 21.0 | 4593 | 0.9656 | 66.5410 |
| No log | 22.0 | 4812 | 0.9721 | 66.4741 |
| No log | 23.0 | 5031 | 0.9778 | 66.6736 |
| No log | 24.0 | 5250 | 1.0032 | 66.5801 |
| No log | 25.0 | 5468 | 1.0808 | 66.6122 |
| No log | 26.0 | 5687 | 1.0403 | 66.7292 |
| No log | 27.0 | 5906 | 1.0388 | 66.5946 |
| No log | 28.0 | 6125 | 1.0707 | 66.6240 |
| No log | 29.0 | 6343 | 1.0356 | 66.7184 |
| No log | 29.9 | 6540 | 1.0664 | 66.6476 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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