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t5-small-finetuned-pubmedSum – AI Model by bleuLabs | AlphaNeural AI
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t5-small-finetuned-pubmedSum
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-pubmedSum
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0141
Rouge1: 14.3086
Rouge2: 6.1646
Rougel: 12.2632
Rougelsum: 13.2105
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
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
2.2119
1.0
29981
2.0141
14.3086
6.1646
12.2632
13.2105
19.0
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
