metadata
library_name: transformers
language:
- he
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_17_0
metrics:
- wer
model-index:
- name: Whisper Small He - Sanchit Gandhi
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 17.0
type: mozilla-foundation/common_voice_17_0
config: he
split: test
args: 'config: he, split: test'
metrics:
- name: Wer
type: wer
value: 71.81719260065287
Whisper Small He - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9486
- Wer: 71.8172
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 |
|---|---|---|---|---|
| 0.1591 | 5.1948 | 400 | 0.6390 | 74.0479 |
| 0.0164 | 10.3896 | 800 | 0.7373 | 74.3199 |
| 0.0078 | 15.5844 | 1200 | 0.8321 | 73.3950 |
| 0.0028 | 20.7792 | 1600 | 0.8744 | 74.2111 |
| 0.0012 | 25.9740 | 2000 | 0.9024 | 71.8172 |
| 0.0003 | 31.1688 | 2400 | 0.9137 | 72.0348 |
| 0.0002 | 36.3636 | 2800 | 0.9279 | 71.8172 |
| 0.0002 | 41.5584 | 3200 | 0.9391 | 71.8172 |
| 0.0002 | 46.7532 | 3600 | 0.9457 | 71.8172 |
| 0.0002 | 51.9481 | 4000 | 0.9486 | 71.8172 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1