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bart_cust_summarizer – AI Model by shaunck96 | AlphaNeural AI
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bart_cust_summarizer
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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bart_cust_summarizer
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8540
Rouge1: 0.208
Rouge2: 0.0971
Rougel: 0.1781
Rougelsum: 0.1778
Gen Len: 18.9841
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: 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
2.2101
1.0
1887
1.9077
0.2068
0.0945
0.1765
0.1764
18.9873
2.0495
2.0
3774
1.8540
0.208
0.0971
0.1781
0.1778
18.9841
Framework versions
Transformers 4.37.1
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1
