|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: wav2vec2-base-voxceleb1 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# wav2vec2-base-voxceleb1 |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0316 |
|
- Accuracy: 0.8311 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 1 |
|
- seed: 1016 |
|
- optimizer: Use adamw_torch 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: 0.1 |
|
- num_epochs: 10.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 5.7408 | 1.0 | 8648 | 6.0003 | 0.0198 | |
|
| 3.0546 | 2.0 | 17296 | 3.9534 | 0.2351 | |
|
| 1.3947 | 3.0 | 25944 | 2.4203 | 0.4975 | |
|
| 0.5969 | 4.0 | 34592 | 1.5746 | 0.6645 | |
|
| 0.2713 | 5.0 | 43240 | 1.3448 | 0.7310 | |
|
| 0.1379 | 6.0 | 51888 | 1.2183 | 0.7664 | |
|
| 0.0555 | 7.0 | 60536 | 1.1041 | 0.7956 | |
|
| 0.0268 | 8.0 | 69184 | 1.0941 | 0.8104 | |
|
| 0.0122 | 9.0 | 77832 | 1.0580 | 0.8256 | |
|
| 0.0053 | 10.0 | 86480 | 1.0316 | 0.8311 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.2 |
|
- Pytorch 2.0.0+cu117 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.3 |
|
|
