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mt5-base-tagged-1e4-jst-a100-distilled-mt5-small-7 – AI Model by jinx2321 | AlphaNeural AI

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jinx2321/
mt5-base-tagged-1e4-jst-a100-distilled-mt5-small-7

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-base-tagged-1e4-jst-a100-distilled-mt5-small-7

This model is a fine-tuned version of google/mt5-small 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use 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

Training results

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1