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bart-base-generation – AI Model by GuysTrans | AlphaNeural AI
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GuysTrans
/
bart-base-generation
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
GuysTrans/bart-base-finetuned-xsum
finetune
apache-2.0
endpoints_compatible
us
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bart-base-generation
This model is a fine-tuned version of
GuysTrans/bart-base-finetuned-xsum
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0932
Rouge1: 17.1543
Rouge2: 12.9074
Rougel: 16.512
Rougelsum: 16.9278
Bleu-1: 0.0079
Bleu-2: 0.0073
Bleu-3: 0.007
Bleu-4: 0.0068
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: 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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Bleu-1
Bleu-2
Bleu-3
Bleu-4
Gen Len
2.1136
1.0
28600
1.0932
17.1543
12.9074
16.512
16.9278
0.0079
0.0073
0.007
0.0068
20.0
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
