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20000sumbart – AI Model by Tawanmeansthesun | AlphaNeural AI
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20000sumbart
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
mit
endpoints_compatible
us
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20000sumbart
This model is a fine-tuned version of
facebook/bart-large-cnn
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 4
eval_batch_size: 2
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
0.0012
1.0
4000
0.0003
0.0
2.0
8000
0.0000
Framework versions
Transformers 4.17.0
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
