metadata
license: apache-2.0
tags:
- audio-classification
- generated_from_trainer
datasets:
- superb
metrics:
- accuracy
model-index:
- name: wav2vec2-base-ks-finetuning
results: []
wav2vec2-base-ks-finetuning
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: 0.2261
- Accuracy: 0.9813
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: 3e-05
- 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 |
|---|---|---|---|---|
| 1.6773 | 1.0 | 50 | 1.6218 | 0.6209 |
| 1.4707 | 2.0 | 100 | 1.4400 | 0.6209 |
| 1.1387 | 3.0 | 150 | 1.0470 | 0.6599 |
| 0.7909 | 4.0 | 200 | 0.6997 | 0.8903 |
| 0.5488 | 5.0 | 250 | 0.4567 | 0.9640 |
| 0.4195 | 6.0 | 300 | 0.3288 | 0.9754 |
| 0.3445 | 7.0 | 350 | 0.2598 | 0.9809 |
| 0.3107 | 8.0 | 400 | 0.2261 | 0.9813 |
| 0.2781 | 9.0 | 450 | 0.2104 | 0.9810 |
| 0.2729 | 10.0 | 500 | 0.2050 | 0.9813 |
Framework versions
- Transformers 4.22.0.dev0
- Pytorch 1.11.0+cu115
- Datasets 2.4.0
- Tokenizers 0.12.1