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bart-base-finetuned-en-to-ro-clean – AI Model by himanshubeniwal | AlphaNeural AI
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himanshubeniwal
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bart-base-finetuned-en-to-ro-clean
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
wmt16
facebook/bart-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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bart-base-finetuned-en-to-ro-clean
This model is a fine-tuned version of
facebook/bart-base
on the wmt16 dataset. It achieves the following results on the evaluation set:
Loss: 1.3502
Bleu: 1.8841
Gen Len: 19.7764
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
0.646
1.0
38145
1.3502
1.8841
19.7764
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
