---
library_name: transformers
language:
- id
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 - FineTuned - Id -
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      args: 'config: id, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 65.57659208261619
---

<!-- 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 Tiny - FineTuned - Id -

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0871
- Wer: 65.5766

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 1.1857        | 1.5873  | 100  | 0.9525          | 64.8881 |
| 0.5773        | 3.1746  | 200  | 0.9205          | 59.1222 |
| 0.2841        | 4.7619  | 300  | 0.9536          | 59.2943 |
| 0.138         | 6.3492  | 400  | 0.9851          | 54.3890 |
| 0.0694        | 7.9365  | 500  | 1.0057          | 59.6386 |
| 0.0339        | 9.5238  | 600  | 1.0530          | 64.8021 |
| 0.0195        | 11.1111 | 700  | 1.0620          | 61.1876 |
| 0.013         | 12.6984 | 800  | 1.0752          | 57.1429 |
| 0.0106        | 14.2857 | 900  | 1.0827          | 65.4045 |
| 0.0097        | 15.8730 | 1000 | 1.0871          | 65.5766 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3