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grammar_error_detection – AI Model by LerrySamson | AlphaNeural AI
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LerrySamson
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grammar_error_detection
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transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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grammar_error_detection
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Accuracy: 0.9819
F1: 0.9196
Loss: 0.0412
Precision: 0.9278
Recall: 0.9117
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: 64
eval_batch_size: 64
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Accuracy
F1
Validation Loss
Precision
Recall
0.0427
2.0
151000
0.9806
0.9133
0.0436
0.9224
0.9043
0.0384
3.0
226500
0.9816
0.9174
0.0412
0.9275
0.9075
0.0344
4.0
302000
0.9819
0.9196
0.0412
0.9278
0.9117
Framework versions
Transformers 5.13.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
