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finetuned_multi_news_bart_text_summarisation – AI Model by Madan490 | AlphaNeural AI
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Madan490
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finetuned_multi_news_bart_text_summarisation
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transformers
pytorch
tensorboard
bart
text2text-generation
generated_from_trainer
summarization
multi_news
apache-2.0
model-index
endpoints_compatible
us
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finetuned_multi_news_bart_text_summarisation
This model is a fine-tuned version of
slauw87/bart_summarisation
on the multi_news dataset. It achieves the following results on the evaluation set:
Loss: 2.8952
Rouge1: 0.4038
Rouge2: 0.1389
Rougel: 0.2155
Rougelsum: 0.2147
Gen Len: 138.7667
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
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
No log
1.0
15
2.9651
0.3903
0.134
0.21
0.2098
137.6
No log
2.0
30
2.8952
0.4038
0.1389
0.2155
0.2147
138.7667
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
