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mt5-1e4-paper-je-5 – AI Model by jinx2321 | AlphaNeural AI
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jinx2321
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mt5-1e4-paper-je-5
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
jinx2321/mt5-1e4-paper-je
finetune
apache-2.0
endpoints_compatible
us
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mt5-1e4-paper-je-5
This model is a fine-tuned version of
jinx2321/mt5-1e4-paper-je
on the None dataset.
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: 0.0001
train_batch_size: 128
eval_batch_size: 8
seed: 42
optimizer: Use 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
Training results
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
