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bart-base-finetuned-cnn_dailymail – AI Model by Cpod | AlphaNeural AI
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Cpod
/
bart-base-finetuned-cnn_dailymail
like
0
transformers
tf
tensorboard
bart
text2text-generation
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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Cpod/bart-base-finetuned-cnn_dailymail
This model is a fine-tuned version of
facebook/bart-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.6826
Validation Loss: 1.5789
Epoch: 2
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
1.9428
1.6391
0
1.7708
1.5939
1
1.6826
1.5789
2
Framework versions
Transformers 4.26.1
TensorFlow 2.11.0
Datasets 2.10.1
Tokenizers 0.13.2
