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mt5-small-medical_transcription – AI Model by alibidaran | AlphaNeural AI
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alibidaran
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mt5-small-medical_transcription
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
generated_from_trainer
apache-2.0
endpoints_compatible
us
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mt5-small-medical_transcription
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 8.1021
Rouge1: 0.0328
Rouge2: 0.0049
Rougel: 0.0302
Rougelsum: 0.031
Gen Len: 6.8971
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
21.6661
1.0
26
8.1021
0.0328
0.0049
0.0302
0.031
6.8971
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
base_model:google/mt5-small
