---
language:
- el
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 small Greek Farsipal and  El Greco
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: mozilla-foundation/common_voice_11_0,google/fleurs el,el_gr
      type: mozilla-foundation/common_voice_11_0,google/fleurs
      config: null
      split: None
    metrics:
    - name: Wer
      type: wer
      value: 16.493313521545318
---

<!-- 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 Greek Farsipal and  El Greco

This model is a fine-tuned version of [emilios/whisper-sm-farsipal-e5](https://huggingface.co/emilios/whisper-sm-farsipal-e5) on the mozilla-foundation/common_voice_11_0,google/fleurs el,el_gr dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5015
- Wer: 16.4933

## 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-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: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0004        | 2.49  | 1000 | 0.4797          | 16.7348 |
| 0.0003        | 4.98  | 2000 | 0.4895          | 16.5397 |
| 0.0002        | 7.46  | 3000 | 0.4963          | 16.5119 |
| 0.0002        | 9.95  | 4000 | 0.5015          | 16.4933 |
| 0.0002        | 12.44 | 5000 | 0.5034          | 16.5676 |


### Framework versions

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