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m2m100_en_ms_FineTuned – AI Model by mytranslatenisa | AlphaNeural AI
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m2m100_en_ms_FineTuned
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transformers
safetensors
m2m_100
text2text-generation
generated_from_trainer
facebook/m2m100_418M
finetune
mit
endpoints_compatible
us
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m2m100_en_ms_FineTuned
This model is a fine-tuned version of
facebook/m2m100_418M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5843
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: 2e-05
train_batch_size: 8
eval_batch_size: 2
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7013
1.0
6159
0.6675
0.5310
2.0
12318
0.6036
0.4428
3.0
18477
0.5843
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
