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m2m100-7e-5-20k-Final-v3 – AI Model by wandererupak | AlphaNeural AI | AlphaNeural AI
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m2m100-7e-5-20k-Final-v3
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
wandererupak/m2m100-7e-5-20k-Ultimate
finetune
mit
endpoints_compatible
us
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m2m100-7e-5-20k-Final-v3
This model is a fine-tuned version of
wandererupak/m2m100-7e-5-20k-Ultimate
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: 7e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
lr_scheduler_warmup_ratio: 0.06
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.2.0
Tokenizers 0.22.1
