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BART-finetuned-on-translation-test – AI Model by louistichelman | AlphaNeural AI
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BART-finetuned-on-translation-test
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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BART-finetuned-on-translation-test
This model is a fine-tuned version of
facebook/bart-large
on the None dataset.
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
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
1.0
4
7.2281
1.5517
15.8758
Framework versions
Transformers 4.34.1
Pytorch 2.1.1+cpu
Datasets 2.15.0
Tokenizers 0.14.1
