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en-to-es-trans-with-bart – AI Model by sinanoloji | AlphaNeural AI
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en-to-es-trans-with-bart
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
opus_books
facebook/bart-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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en-to-es-trans-with-bart
This model is a fine-tuned version of
facebook/bart-base
on the opus_books dataset. It achieves the following results on the evaluation set:
Loss: 2.0355
Bleu: 2.1888
Gen Len: 18.6278
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.4648
1.0
4674
2.1509
1.937
18.6399
2.2417
2.0
9348
2.0355
2.1888
18.6278
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
