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m2m100_418M-GEC-spanish-synthetic – AI Model by Ro551 | AlphaNeural AI
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m2m100_418M-GEC-spanish-synthetic
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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-synthetic
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: 0.0202
Gleu: 0.9352
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: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.060453811040672545
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
0.1219
1.0
1354
0.0233
0.9275
0.0840
2.0
2708
0.0202
0.9352
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
