starrail-gender-classification-multi-3epoch

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1142
• Accuracy: 0.9639

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: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2321	0.3650	50	0.2255	0.9434
0.1649	0.7299	100	0.1519	0.9561
0.1516	1.0949	150	0.1245	0.9629
0.1172	1.4599	200	0.1211	0.9629
0.1213	1.8248	250	0.1142	0.9648
0.1143	2.1898	300	0.1144	0.9658
0.1228	2.5547	350	0.1142	0.9639
0.1002	2.9197	400	0.1142	0.9639

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.4.2
• Tokenizers 0.22.1