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distilbart-cnn-12-6-finetuned-resume-summarizer-finetuned-xsum – AI Model by BandiSaidevaGoud | AlphaNeural AI
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BandiSaidevaGoud
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distilbart-cnn-12-6-finetuned-resume-summarizer-finetuned-xsum
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
Ameer05/distilbart-cnn-12-6-finetuned-resume-summarizer
finetune
endpoints_compatible
us
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distilbart-cnn-12-6-finetuned-resume-summarizer-finetuned-xsum
This model is a fine-tuned version of
Ameer05/distilbart-cnn-12-6-finetuned-resume-summarizer
on an unknown dataset.
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
No log
1.0
50
1.8893
58.9656
44.9155
48.2576
57.2133
72.0833
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
