|
--- |
|
language: |
|
- hi |
|
license: apache-2.0 |
|
base_model: openai/whisper-small |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: Whisper Small Hi gpu |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: hi |
|
split: test |
|
args: 'config: hi, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 194.9420130364852 |
|
--- |
|
|
|
<!-- 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 Small Hi gpu |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.8500 |
|
- Wer: 194.9420 |
|
|
|
## 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: 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 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 8.6847 | 2.44 | 500 | 8.6186 | 184.5213 | |
|
| 7.0074 | 4.88 | 1000 | 6.9394 | 502.2010 | |
|
| 5.0316 | 7.32 | 1500 | 4.9749 | 693.9939 | |
|
| 3.7844 | 9.76 | 2000 | 3.7445 | 447.2488 | |
|
| 3.2504 | 12.2 | 2500 | 3.2245 | 326.1619 | |
|
| 3.0134 | 14.63 | 3000 | 2.9979 | 217.9463 | |
|
| 2.8995 | 17.07 | 3500 | 2.8893 | 213.6164 | |
|
| 2.8678 | 19.51 | 4000 | 2.8500 | 194.9420 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.1 |
|
- Pytorch 2.0.1+rocm5.4.2 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.12.1 |
|
|
