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flan-t5-small-finetuned-medicine – AI Model by Varshitha | AlphaNeural AI
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Varshitha
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flan-t5-small-finetuned-medicine
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transformers
pytorch
tensorboard
t5
text2text-generation
text2textgeneration
generated_from_trainer
google/flan-t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-small-finetuned-medicine
This model is a fine-tuned version of
google/flan-t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.9066
Rouge1: 9.3596
Rouge2: 2.6144
Rougel: 8.94
Rougelsum: 8.94
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
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
3.1417
1.0
5
2.9168
9.5238
2.6144
8.9947
8.9947
3.1069
2.0
10
2.9066
9.3596
2.6144
8.94
8.94
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3
