metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-ft
results: []
datasets:
- mazkooleg/0-9up_google_speech_commands_augmented_raw
wav2vec2-base-ft
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0156
- Accuracy: 0.9964
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.0905 | 1.0 | 8558 | 0.9952 | 0.0197 |
| 0.0572 | 2.0 | 17117 | 0.9964 | 0.0156 |
| 0.0597 | 3.0 | 25674 | 0.9955 | 0.0181 |
| 0.0396 | 4.0 | 34232 | 0.9950 | 0.0207 |
| 0.0399 | 5.0 | 42790 | 0.9938 | 0.0249 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.11.0
- Datasets 2.10.1
- Tokenizers 0.12.1