|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- audiofolder |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: akan-whisper-medium |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: audiofolder |
|
type: audiofolder |
|
config: default |
|
split: train |
|
args: default |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 65.37832712052841 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# akan-whisper-medium |
|
|
|
This model is a fine-tuned version of [akan-whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3225 |
|
- Wer: 65.3783 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-------:|:----:|:---------------:|:-------:| |
|
| 0.6326 | 7.5758 | 500 | 0.8675 | 71.1922 | |
|
| 0.1649 | 15.1515 | 1000 | 0.8976 | 65.7903 | |
|
| 0.0284 | 22.7273 | 1500 | 1.0661 | 66.8563 | |
|
| 0.0067 | 30.3030 | 2000 | 1.1925 | 66.7517 | |
|
| 0.0034 | 37.8788 | 2500 | 1.2540 | 68.6221 | |
|
| 0.0022 | 45.4545 | 3000 | 1.2904 | 67.0721 | |
|
| 0.0018 | 53.0303 | 3500 | 1.3139 | 67.5038 | |
|
| 0.0017 | 60.6061 | 4000 | 1.3225 | 65.3783 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
