tiny-audio-next-thurs

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

• Loss: 0.3428

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: 0.001
• train_batch_size: 100
• eval_batch_size: 100
• seed: 43
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine_with_min_lr
• lr_scheduler_warmup_steps: 1000
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2913	0.0450	2000	0.4665
0.2560	0.0900	4000	0.4262
0.2500	0.1350	6000	0.4156
0.2387	0.1800	8000	0.4142
0.2258	0.2250	10000	0.3964
0.2220	0.2700	12000	0.3896
0.2183	0.3150	14000	0.3913
0.2112	0.3600	16000	0.3841
0.2086	0.4050	18000	0.3763
0.2042	0.4501	20000	0.3732
0.1944	0.4951	22000	0.3659
0.1893	0.5401	24000	0.3631
0.1942	0.5851	26000	0.3589
0.1861	0.6301	28000	0.3567
0.1894	0.6751	30000	0.3515
0.1807	0.7201	32000	0.3497
0.1794	0.7651	34000	0.3456
0.1745	0.8101	36000	0.3453
0.1704	0.8551	38000	0.3459
0.1754	0.9001	40000	0.3446
0.1735	0.9451	42000	0.3440
0.1737	0.9901	44000	0.3415
0.1755	1.0	44439	0.3428

Framework versions

• Transformers 5.7.0
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.22.2