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m2m100_418M-GEC-spanish-cowsl2h – AI Model by Ro551 | AlphaNeural AI
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Ro551
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m2m100_418M-GEC-spanish-cowsl2h
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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_418M-GEC-spanish-cowsl2h
This model is a fine-tuned version of
facebook/m2m100_418M
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0654
Gleu: 0.6187
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: 4.3060297566589666e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.060453811040672545
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
1.2288
1.0
388
0.0659
0.5735
0.7238
2.0
776
0.0627
0.6020
0.3931
3.0
1164
0.0643
0.6070
0.2323
4.0
1552
0.0654
0.6187
Framework versions
Transformers 5.0.0
Pytorch 2.7.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
