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medical_summarization-finetuned-Medical-summary – AI Model by smiling-pranjal | AlphaNeural AI
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smiling-pranjal
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medical_summarization-finetuned-Medical-summary
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
Falconsai/medical_summarization
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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medical_summarization-finetuned-Medical-summary
This model is a fine-tuned version of
Falconsai/medical_summarization
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.2124
Rouge1: 22.5658
Rouge2: 14.2244
Rougel: 20.2774
Rougelsum: 21.7581
Gen Len: 19.0
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: 16
eval_batch_size: 16
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
1.3725
1.0
579
1.2124
22.5658
14.2244
20.2774
21.7581
19.0
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
