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---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: bart-base-finetuned-ro-to-en-clean
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wmt16
type: wmt16
config: ro-en
split: validation
args: ro-en
metrics:
- name: Bleu
type: bleu
value: 15.7437
---
<!-- 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. -->
# bart-base-finetuned-ro-to-en-clean
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the wmt16 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5226
- Bleu: 15.7437
- Gen Len: 18.4167
## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0182 | 1.0 | 38145 | 1.5226 | 15.7437 | 18.4167 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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