|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-medium |
|
tags: |
|
- whisper-event |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_16_1 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper da-nst |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_16_1 |
|
type: common_voice_16_1 |
|
config: da |
|
split: test |
|
args: da |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 28.79345603271984 |
|
--- |
|
|
|
<!-- 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 da-nst |
|
|
|
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_16_1 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.9046 |
|
- Wer: 28.7935 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- training_steps: 8000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.0092 | 4.02 | 1000 | 0.8223 | 32.0654 | |
|
| 0.0039 | 9.01 | 2000 | 0.8388 | 30.5203 | |
|
| 0.0001 | 13.02 | 3000 | 0.8310 | 29.4479 | |
|
| 0.0 | 18.01 | 4000 | 0.8598 | 28.9571 | |
|
| 0.0 | 23.0 | 5000 | 0.8776 | 28.9162 | |
|
| 0.0 | 27.02 | 6000 | 0.8911 | 28.9162 | |
|
| 0.0 | 32.01 | 7000 | 0.9006 | 28.8298 | |
|
| 0.0 | 36.03 | 8000 | 0.9046 | 28.7935 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.2 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.1 |
|
|
