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m2m100-7e-5-20k-Ultimate-TEST-2 – AI Model by wandererupak | AlphaNeural AI

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wandererupak/
m2m100-7e-5-20k-Ultimate-TEST-2

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text2text-generation

generated_from_trainer

facebook/m2m100_418M

endpoints_compatible

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m2m100-7e-5-20k-Ultimate-TEST-2

This model is a fine-tuned version of facebook/m2m100_418M 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: 4
total_train_batch_size: 16
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: 5
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