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thesis-bart-transformed-on-presummarized-wcep – AI Model by roofdancer | AlphaNeural AI
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roofdancer
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thesis-bart-transformed-on-presummarized-wcep
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
roofdancer/thesis-bart-finetuned-on-transformed
finetune
apache-2.0
endpoints_compatible
us
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thesis-bart-transformed-on-presummarized-wcep
This model is a fine-tuned version of
roofdancer/thesis-bart-finetuned-on-transformed
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2198
Rouge1: 35.6036
Rouge2: 14.3534
Rougel: 25.0065
Rougelsum: 28.8395
Gen Len: 68.6937
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.2855
1.0
510
2.2198
35.6036
14.3534
25.0065
28.8395
68.6937
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
