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results – AI Model by FrankCorrigan | AlphaNeural AI
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FrankCorrigan
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results
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
samsum
apache-2.0
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
linydub/bart-large-samsum
on the samsum dataset. It achieves the following results on the evaluation set:
Loss: 1.0158
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
0.9563
No log
2.0
2
0.9877
No log
3.0
3
1.0158
Framework versions
Transformers 4.17.0
Pytorch 1.10.0
Datasets 2.0.0
Tokenizers 0.11.6
