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---
license: afl-3.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: Whisper_Small_Odia_CV_11.0_5k_steps
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: 23.497884344146687
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. -->
# Whisper_Small_Odia_CV_11.0_5k_steps
This model is a fine-tuned version of [Ranjit/Whisper_Small_Odia_10k_steps](https://huggingface.co/Ranjit/Whisper_Small_Odia_10k_steps) on the [mozilla-foundation/common_voice_11_0 or](https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4827
- Wer: 23.4979
### 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0018 | 50.0 | 1000 | 0.3315 | 24.0903 |
| 0.0 | 100.0 | 2000 | 0.4098 | 23.7236 |
| 0.0 | 150.0 | 3000 | 0.4827 | 23.4979 |
| 0.0 | 200.0 | 4000 | 0.4914 | 23.8928 |
| 0.0 | 250.0 | 5000 | 0.4953 | 23.7800 | |