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mini-bart-en-pl – AI Model by magdalenaewaprus | AlphaNeural AI
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mini-bart-en-pl
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
iva_mt_wslot
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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mini-bart-en-pl
This model is a fine-tuned version of
facebook/bart-base
on the iva_mt_wslot 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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
No log
1.4286
10
4.7068
0.0
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
