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Bart-base – AI Model by tuquyennnn | AlphaNeural AI
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tuquyennnn
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Bart-base
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart-base
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: 0.2383
Rouge1: 43.8254
Rouge2: 20.1579
Rougel: 36.9652
Rougelsum: 39.6438
Gen Len: 18.0
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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.2152
1.0
4632
0.2446
43.1632
19.3357
36.1382
38.8081
18.0
0.1758
2.0
9264
0.2383
43.8254
20.1579
36.9652
39.6438
18.0
Framework versions
Transformers 4.36.1
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.15.2
