---
language:
- el
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- google/fleurs
metrics:
- wer
model-index:
- name: whisper-large-v2-greek
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: FLEURS
      type: google/fleurs
      config: el_gr
      split: test
      args: el_gr
    metrics:
    - name: Wer
      type: wer
      value: 0.19205164413960057
---

<!-- 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-large-v2-greek

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the FLEURS dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3106
- Wer Ortho: 0.2256
- Wer: 0.1921

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.1809        | 1.0   | 274  | 0.2244          | 0.2261    | 0.1947 |
| 0.0977        | 2.0   | 549  | 0.2306          | 0.2204    | 0.1856 |
| 0.0594        | 3.0   | 824  | 0.2332          | 0.2137    | 0.1814 |
| 0.0454        | 4.0   | 1099 | 0.2667          | 0.2315    | 0.1985 |
| 0.028         | 5.0   | 1374 | 0.2579          | 0.2151    | 0.1822 |
| 0.022         | 6.0   | 1649 | 0.2674          | 0.2188    | 0.1863 |
| 0.0202        | 7.0   | 1924 | 0.2719          | 0.2140    | 0.1790 |
| 0.0129        | 8.0   | 2199 | 0.2894          | 0.2219    | 0.1834 |
| 0.0218        | 9.0   | 2473 | 0.2861          | 0.2180    | 0.1831 |
| 0.0144        | 10.0  | 2748 | 0.3076          | 0.2211    | 0.1874 |
| 0.0157        | 11.0  | 3023 | 0.3094          | 0.2264    | 0.1900 |
| 0.0114        | 11.96 | 3288 | 0.3106          | 0.2256    | 0.1921 |


### Framework versions

- Transformers 4.30.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3