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