bert_prof_single_v3_128_below_100

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6341
• Accuracy: 0.8500
• F1: 0.8455

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: 1.6289314429698796e-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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7676	1.0	7505	0.7432	0.8097	0.7967
0.579	2.0	15010	0.6401	0.8404	0.8343
0.4389	3.0	22515	0.6213	0.8482	0.8430

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1