metadata

library_name: transformers
license: apache-2.0
base_model: Falconsai/medical_summarization
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: medical_summarization-finetuned-Medical-summary
    results: []

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