naive-puzzle/cv-gender-classification-ja-pt

cv-gender-classification-ja

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: 0.2442
• Accuracy: 0.8789

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.393	0.0909	50	0.3814	0.8369
0.3133	0.1818	100	0.2809	0.8652
0.3195	0.2727	150	0.2842	0.8623
0.2828	0.3636	200	0.2566	0.8701
0.2794	0.4545	250	0.2511	0.8789
0.2649	0.5455	300	0.2476	0.8809
0.269	0.6364	350	0.2440	0.8857
0.2871	0.7273	400	0.2505	0.8691
0.2538	0.8182	450	0.2480	0.8711
0.256	0.9091	500	0.2440	0.8789
0.247	1.0	550	0.2442	0.8789

Framework versions

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