kalai_bert_model_test_4_out

This model is a fine-tuned version of KalaiselvanD/kalai_bert_model_test_4_out on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1363
• 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	0.3805	1.0
No log	2.0	8	0.1817	1.0
No log	3.0	12	0.1363	1.0

Framework versions

• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1