metadata
library_name: transformers
language:
- hi
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper Tiny id - Zein
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 11.0
type: mozilla-foundation/common_voice_11_0
config: id
split: None
args: 'config: id, split: test'
metrics:
- name: Wer
type: wer
value: 49.15607901326162
Whisper Tiny id - Zein
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.9557
- Wer: 49.1561
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: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3251 | 3.1646 | 1000 | 0.7617 | 48.4559 |
| 0.1132 | 6.3291 | 2000 | 0.7951 | 47.6630 |
| 0.0414 | 9.4937 | 3000 | 0.8504 | 48.5208 |
| 0.0146 | 12.6582 | 4000 | 0.9079 | 49.3647 |
| 0.0083 | 15.8228 | 5000 | 0.9421 | 48.9057 |
| 0.0064 | 18.9873 | 6000 | 0.9557 | 49.1561 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1