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bart-large-retry-finetune-indosum – AI Model by BlueWard | AlphaNeural AI
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BlueWard
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bart-large-retry-finetune-indosum
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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-large-retry-finetune-indosum
This model is a fine-tuned version of
facebook/bart-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3273
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: 2
eval_batch_size: 2
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
0.3437
1.0
35677
0.3273
Framework versions
Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.2
