v10_checkpoints

This model is a fine-tuned version of inflaton/v10_checkpoints on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3687
• Accuracy: 0.9514

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	187	0.1329	0.9551
No log	2.0	374	0.2773	0.9517
0.0751	3.0	561	0.3341	0.9484
0.0751	4.0	748	0.3163	0.9477
0.0751	5.0	935	0.3505	0.9494
0.0069	6.0	1122	0.3526	0.9494
0.0069	7.0	1309	0.3696	0.9497
0.0069	8.0	1496	0.3472	0.9501
0.0026	9.0	1683	0.3602	0.9504
0.0026	10.0	1870	0.3687	0.9514

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1