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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_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
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