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my_mind_classifier_BertMini – AI Model by Mediocre-Judge | AlphaNeural AI | AlphaNeural AI
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Mediocre-Judge
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my_mind_classifier_BertMini
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-mini
finetune
mit
autotrain_compatible
endpoints_compatible
us
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my_mind_classifier_BertMini
This model is a fine-tuned version of
prajjwal1/bert-mini
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4530
Accuracy: 0.8620
Precision: 0.8578
Recall: 0.8620
F1: 0.8599
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.6179
1.0
9024
0.5588
0.8303
0.8272
0.8303
0.8288
0.4973
2.0
18048
0.4530
0.8620
0.8578
0.8620
0.8599
Framework versions
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
