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mt5-small-GEC-spanish-LORA-merged – AI Model by Ro551 | AlphaNeural AI
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Ro551
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mt5-small-GEC-spanish-LORA-merged
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peft
safetensors
adapter
lora
transformers
google/mt5-small
apache-2.0
us
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mt5-small-GEC-spanish-LORA-merged
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1016
Gleu: 0.7352
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: 0.001635475313478006
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.0993688388184371
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Gleu
0.2301
1.0
11213
0.1175
0.7102
0.1762
2.0
22426
0.1016
0.7352
Framework versions
PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.7.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
