|
--- |
|
license: apache-2.0 |
|
base_model: facebook/wav2vec2-base |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- minds14 |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: ft-wav2vec2-with-minds |
|
results: |
|
- task: |
|
name: Audio Classification |
|
type: audio-classification |
|
dataset: |
|
name: minds14 |
|
type: minds14 |
|
config: en-US |
|
split: train |
|
args: en-US |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.11504424778761062 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# ft-wav2vec2-with-minds |
|
|
|
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6358 |
|
- Accuracy: 0.1150 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 256 |
|
- 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 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 2 | 2.6358 | 0.1150 | |
|
| No log | 2.0 | 4 | 2.6403 | 0.1062 | |
|
| No log | 3.0 | 6 | 2.6474 | 0.0796 | |
|
| No log | 4.0 | 8 | 2.6491 | 0.0442 | |
|
| 2.6359 | 5.0 | 10 | 2.6499 | 0.0531 | |
|
| 2.6359 | 6.0 | 12 | 2.6521 | 0.0531 | |
|
| 2.6359 | 7.0 | 14 | 2.6526 | 0.0442 | |
|
| 2.6359 | 8.0 | 16 | 2.6522 | 0.0354 | |
|
| 2.6359 | 9.0 | 18 | 2.6520 | 0.0354 | |
|
| 2.625 | 10.0 | 20 | 2.6521 | 0.0442 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.0.0 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
