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AI-Text-Ditactor – AI Model by Priyanshuchaudhary2425 | AlphaNeural AI
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AI-Text-Ditactor
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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AI-Text-Ditactor
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0658
Accuracy: 0.987
Precision: 0.9851
Recall: 0.9873
F1: 0.9862
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.0899
1.0
1250
0.0658
0.987
0.9851
0.9873
0.9862
Framework versions
Transformers 4.38.0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
