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mt5-small-medical-qa – AI Model by binhphap5 | AlphaNeural AI

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binhphap5/
mt5-small-medical-qa

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-vihealthqa-finetuned

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 2.3488
eval_runtime: 29.7067
eval_samples_per_second: 33.427
eval_steps_per_second: 5.588
epoch: 3.0
step: 1755

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: 6
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 12
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: 5

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1