metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cv-gender-classification-ja
results: []
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