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asr-medical-mt5-finetuned2 – AI Model by erpankajgupta1 | AlphaNeural AI
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asr-medical-mt5-finetuned2
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
HiTZ/Medical-mT5-large
finetune
apache-2.0
endpoints_compatible
us
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asr-medical-mt5-finetuned2
This model is a fine-tuned version of
HiTZ/Medical-mT5-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 9.8316
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 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
2417153.8
1.0
138
9.8316
359610.675
2.0
276
9.8316
9973.0102
3.0
414
9.8316
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
