---
language:
- sr
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0,google/fleurs
metrics:
- wer
model-index:
- name: Whisper medium Serbian El Greco
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0,google/fleurs sr,sr_rs
      type: mozilla-foundation/common_voice_11_0,google/fleurs
      config: sr
      split: None
    metrics:
    - name: Wer
      type: wer
      value: 12.140833670578713
---

<!-- 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 medium Serbian El Greco

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0,google/fleurs sr,sr_rs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4868
- Wer: 12.1408

## 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: 3e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 10000

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0222        | 2.72  | 1000  | 0.3442          | 14.0834 |
| 0.0032        | 5.43  | 2000  | 0.4106          | 14.5285 |
| 0.0011        | 8.15  | 3000  | 0.4331          | 12.8693 |
| 0.0029        | 10.87 | 4000  | 0.3948          | 12.6265 |
| 0.0012        | 13.59 | 5000  | 0.4512          | 12.6669 |
| 0.0009        | 16.3  | 6000  | 0.4890          | 12.7479 |
| 0.001         | 19.02 | 7000  | 0.4868          | 12.1408 |
| 0.0016        | 21.74 | 8000  | 0.4780          | 12.7074 |
| 0.0002        | 24.46 | 9000  | 0.4902          | 12.2218 |
| 0.0012        | 27.17 | 10000 | 0.5059          | 12.6669 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2