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sani-gec-v0.0.1-cold-start – AI Model by oza75 | AlphaNeural AI
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oza75
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sani-gec-v0.0.1-cold-start
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transformers
tensorboard
safetensors
sani_gec
grammatical-error-correction
generated_from_trainer
oza75/sani-gec-v0.0.1
finetune
endpoints_compatible
us
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sani-gec-v0.0.1-cold-start
This model is a fine-tuned version of
oza75/sani-gec-v0.0.1
on the oza75/bm-gec, the oza75/bm-gec, the oza75/bm-gec and the oza75/bm-gec datasets.
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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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: 0.1
num_epochs: 5
Training results
Framework versions
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 3.6.0
Tokenizers 0.22.2
