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distilbart-cnn-12-6-finetuned-xsum – AI Model by lhlamlehoang | AlphaNeural AI
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lhlamlehoang
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distilbart-cnn-12-6-finetuned-xsum
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tf
tensorboard
bart
generated_from_keras_callback
sshleifer/distilbart-cnn-12-6
finetune
apache-2.0
us
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lhlamlehoang/distilbart-cnn-12-6-finetuned-xsum
This model is a fine-tuned version of
sshleifer/distilbart-cnn-12-6
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 3.2948
Validation Loss: 2.1120
Train Rouge1: 21.0538
Train Rouge2: 4.9549
Train Rougel: 17.4950
Train Rougelsum: 16.8888
Train Gen Len: 70.8
Epoch: 0
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
Train Rouge1
Train Rouge2
Train Rougel
Train Rougelsum
Train Gen Len
Epoch
3.2948
2.1120
21.0538
4.9549
17.4950
16.8888
70.8
0
Framework versions
Transformers 4.39.3
TensorFlow 2.18.0
Datasets 2.21.0
Tokenizers 0.15.2
