---
license: cc-by-nd-4.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: odia_whisper_small_v3.0
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0 or
      type: mozilla-foundation/common_voice_11_0
      config: or
      split: test
      args: or
    metrics:
    - name: Wer
      type: wer
      value: 13.8614
language:
- or
---

<!-- 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. -->

# Ranjit/whisper_small_35k_or

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 and other dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2584
- Wer: 13.8614

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0022        | 5.59  | 1000 | 0.2405          | 13.9995 |
| 0.0005        | 11.17 | 2000 | 0.2584          | 13.8614 |
| 0.0002        | 16.76 | 3000 | 0.2683          | 16.5598 |
| 0.0           | 22.35 | 4000 | 0.2907          | 15.0380 |
| 0.0           | 27.93 | 5000 | 0.3085          | 14.2035 |