metadata
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: wav2vec2-base-ks-padpt3200
results: []
wav2vec2-base-ks-padpt3200
This model is a fine-tuned version of facebook/wav2vec2-base on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 1.2818
- Accuracy: 0.6200
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: 0.003
- train_batch_size: 256
- eval_batch_size: 256
- seed: 0
- gradient_accumulation_steps: 4
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3802 | 1.0 | 50 | 1.5035 | 0.6121 |
| 1.0153 | 2.0 | 100 | 1.2818 | 0.6200 |
| 0.9105 | 3.0 | 150 | 1.3827 | 0.5380 |
| 0.8535 | 4.0 | 200 | 1.3513 | 0.5587 |
| 0.7982 | 5.0 | 250 | 1.4749 | 0.5068 |
| 0.7754 | 6.0 | 300 | 1.5109 | 0.5025 |
| 0.749 | 7.0 | 350 | 1.6198 | 0.4476 |
| 0.7497 | 8.0 | 400 | 1.5480 | 0.4850 |
| 0.7386 | 9.0 | 450 | 1.6052 | 0.4665 |
| 0.7185 | 10.0 | 500 | 1.6085 | 0.4734 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.11.0+cu115
- Datasets 2.4.0
- Tokenizers 0.12.1