|
--- |
|
license: apache-2.0 |
|
tags: |
|
- audio-classification |
|
- generated_from_trainer |
|
datasets: |
|
- common_language |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: whisper-base-ft-common-language-id |
|
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. --> |
|
|
|
# whisper-base-ft-common-language-id |
|
|
|
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_language dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0725 |
|
- Accuracy: 0.7525 |
|
|
|
## 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: 16 |
|
- seed: 0 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 2.5291 | 1.0 | 694 | 2.4787 | 0.4806 | |
|
| 1.5801 | 2.0 | 1388 | 1.6258 | 0.6260 | |
|
| 1.0144 | 3.0 | 2082 | 1.2886 | 0.6816 | |
|
| 0.7442 | 4.0 | 2776 | 1.0783 | 0.7237 | |
|
| 0.4802 | 5.0 | 3470 | 1.0582 | 0.7266 | |
|
| 0.3378 | 6.0 | 4164 | 1.0173 | 0.7417 | |
|
| 0.1941 | 7.0 | 4858 | 1.0054 | 0.7446 | |
|
| 0.1424 | 8.0 | 5552 | 1.0213 | 0.7508 | |
|
| 0.1242 | 9.0 | 6246 | 1.0567 | 0.7495 | |
|
| 0.1527 | 10.0 | 6940 | 1.0725 | 0.7525 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.0.dev0 |
|
- Pytorch 1.13.1 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |
|
|
