MontelClassifier

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

• Loss: 1.6256
• Accuracy: 0.7296

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: 5e-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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	116	1.4596	0.5880
No log	2.0	232	1.1372	0.7039
No log	3.0	348	1.0803	0.6910
No log	4.0	464	1.1075	0.7253
1.2586	5.0	580	1.1247	0.7253
1.2586	6.0	696	1.2004	0.7253
1.2586	7.0	812	1.2889	0.7253
1.2586	8.0	928	1.3423	0.7253
0.3598	9.0	1044	1.5117	0.7425
0.3598	10.0	1160	1.4968	0.7425
0.3598	11.0	1276	1.4889	0.7253
0.3598	12.0	1392	1.5606	0.7296
0.0958	13.0	1508	1.6033	0.7339
0.0958	14.0	1624	1.6221	0.7339
0.0958	15.0	1740	1.6256	0.7296

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0