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bart-base-finetuned-kagglenews-entityfiltering – AI Model by chandank | AlphaNeural AI
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bart-base-finetuned-kagglenews-entityfiltering
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-kagglenews-entityfiltering
This model is a fine-tuned version of
facebook/bart-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5703
Rouge1: 28.2719
Rouge2: 15.6883
Rougel: 24.0674
Rougelsum: 25.616
Gen Len: 20.0
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:
learning_rate: 2e-05
train_batch_size: 4
eval_batch_size: 4
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.9187
1.0
863
1.5703
28.2719
15.6883
24.0674
25.616
20.0
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu102
Datasets 1.14.0
Tokenizers 0.10.3
