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vit5-medical – AI Model by sonquyst | AlphaNeural AI
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sonquyst
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vit5-medical
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
VietAI/vit5-base
finetune
mit
text-generation-inference
endpoints_compatible
us
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vit5-medical
This model is a fine-tuned version of
VietAI/vit5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0188
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.0449
0.5294
500
0.0390
0.0233
1.0582
1000
0.0279
0.0159
1.5876
1500
0.0213
0.006
2.1165
2000
0.0198
0.004
2.6458
2500
0.0188
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
