|
--- |
|
language: |
|
- hi |
|
license: apache-2.0 |
|
base_model: CKSINGH/whisper-small-hi-iiib |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: CKSINGH whisper-small-hi-fiefox |
|
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. --> |
|
|
|
# CKSINGH whisper-small-hi-fiefox |
|
|
|
This model is a fine-tuned version of [CKSINGH/whisper-small-hi-iiib](https://huggingface.co/CKSINGH/whisper-small-hi-iiib) on the Common Voice 13.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2473 |
|
- Wer: 11.4253 |
|
- Cer: 7.5700 |
|
|
|
## 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: 1.75e-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: 3000 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:| |
|
| 0.0382 | 3.57 | 1000 | 0.2021 | 12.8043 | 8.1173 | |
|
| 0.0027 | 7.14 | 2000 | 0.2321 | 11.6614 | 7.6820 | |
|
| 0.0001 | 10.71 | 3000 | 0.2473 | 11.4253 | 7.5700 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.0.dev0 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
