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RAFT-BioT5-Medical-QA_testt – AI Model by Radhikaaaa | AlphaNeural AI
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Radhikaaaa
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RAFT-BioT5-Medical-QA_testt
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
QizhiPei/biot5-plus-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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RAFT-BioT5-Medical-QA_testt
This model is a fine-tuned version of
QizhiPei/biot5-plus-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5630
Rouge1: 11.1448
Rouge2: 3.564
Rougel: 8.7117
Meteor: 5.3064
Bertscore F1: 75.7991
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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.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
Meteor
Bertscore F1
3.7491
1.0
12
2.5630
11.1448
3.564
8.7117
5.3064
75.7991
Framework versions
Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
