kalai_bert_model_test_3_out – AI Model by KalaiselvanD | AlphaNeural AI

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KalaiselvanD/
kalai_bert_model_test_3_out

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text-classification

generated_from_trainer

KalaiselvanD/kalai_bert_model_test_3_out

autotrain_compatible

endpoints_compatible

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kalai_bert_model_test_3_out

This model is a fine-tuned version of KalaiselvanD/kalai_bert_model_test_3_out on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0761
Accuracy: 1.0

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	4	0.1840	1.0
No log	2.0	8	0.0899	1.0
No log	3.0	12	0.0761	1.0

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1