|
|
--- |
|
|
license: apache-2.0 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- speech_commands |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: wav2vec2-conformer-rel-pos-large-finetuned-speech-commands |
|
|
results: |
|
|
- task: |
|
|
type: audio-classification |
|
|
name: audio classification |
|
|
dataset: |
|
|
type: speech_commands |
|
|
name: speech_commands |
|
|
split: v0.02 |
|
|
metrics: |
|
|
- type: accuracy |
|
|
value: 0.9724 |
|
|
name: accuracy |
|
|
--- |
|
|
|
|
|
# wav2vec2-conformer-rel-pos-large-finetuned-speech-commands |
|
|
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large) on the speech_commands dataset. |
|
|
|
|
|
It has been trained for 10 epochs on the [speech_commands](https://huggingface.co/datasets/speech_commands) dataset: |
|
|
- subset v0.02 |
|
|
- full training set |
|
|
- full validation set |
|
|
|
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.5245 |
|
|
- Accuracy: 0.9724 |
|
|
|
|
|
## Model description |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 3e-05 |
|
|
- train_batch_size: 256 |
|
|
- eval_batch_size: 256 |
|
|
- seed: 42 |
|
|
- 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 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 2.2901 | 1.0 | 83 | 2.0542 | 0.8875 | |
|
|
| 1.8375 | 2.0 | 166 | 1.5610 | 0.9316 | |
|
|
| 1.4957 | 3.0 | 249 | 1.1850 | 0.9558 | |
|
|
| 1.1917 | 4.0 | 332 | 0.9159 | 0.9695 | |
|
|
| 1.0449 | 5.0 | 415 | 0.7624 | 0.9687 | |
|
|
| 0.9319 | 6.0 | 498 | 0.6444 | 0.9715 | |
|
|
| 0.8559 | 7.0 | 581 | 0.5806 | 0.9711 | |
|
|
| 0.8199 | 8.0 | 664 | 0.5394 | 0.9721 | |
|
|
| 0.7949 | 9.0 | 747 | 0.5245 | 0.9724 | |
|
|
| 0.7975 | 10.0 | 830 | 0.5256 | 0.9721 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.20.1 |
|
|
- Pytorch 1.11.0+cu102 |
|
|
- Datasets 2.3.2 |
|
|
- Tokenizers 0.12.1 |
|
|
|
