|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: IDAT_red_aug_998_Wav2Vec |
|
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. --> |
|
|
|
# IDAT_red_aug_998_Wav2Vec |
|
|
|
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: 0.2033 |
|
- Accuracy: 0.956 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.6465 | 1.0 | 109 | 0.6712 | 0.62 | |
|
| 0.4621 | 2.0 | 219 | 0.5122 | 0.82 | |
|
| 0.4964 | 3.0 | 328 | 0.4697 | 0.788 | |
|
| 0.4637 | 4.0 | 438 | 0.4764 | 0.804 | |
|
| 0.3919 | 5.0 | 547 | 0.3494 | 0.852 | |
|
| 0.2591 | 6.0 | 657 | 0.2926 | 0.904 | |
|
| 0.4556 | 7.0 | 766 | 0.1674 | 0.952 | |
|
| 0.2571 | 8.0 | 876 | 0.1193 | 0.972 | |
|
| 0.067 | 9.0 | 985 | 0.0794 | 0.98 | |
|
| 0.0186 | 9.95 | 1090 | 0.2033 | 0.956 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.13.3 |
|
|
