|
--- |
|
license: apache-2.0 |
|
base_model: openai/whisper-tiny |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- common_voice_9_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: yt-special-batch8-tiny |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: common_voice_9_0 |
|
type: common_voice_9_0 |
|
config: id |
|
split: train |
|
args: id |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 5.397983265393693 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# yt-special-batch8-tiny |
|
|
|
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_9_0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0883 |
|
- Wer: 5.3980 |
|
|
|
## 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: 4 |
|
- 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: 5000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 3.4292 | 1.58 | 1000 | 2.7893 | 302.9157 | |
|
| 1.7988 | 3.17 | 2000 | 1.5463 | 110.1652 | |
|
| 1.083 | 4.75 | 3000 | 0.7805 | 76.9320 | |
|
| 0.3718 | 6.34 | 4000 | 0.3192 | 20.5964 | |
|
| 0.1292 | 7.92 | 5000 | 0.0883 | 5.3980 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.13.1 |
|
- Tokenizers 0.13.3 |
|
|
