---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- fleurs
metrics:
- wer
model-index:
- name: whisper-large-v2-greek
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: fleurs
      type: fleurs
      config: el_gr
      split: test
      args: el_gr
    metrics:
    - name: Wer
      type: wer
      value: 0.8398897182435613
---

<!-- 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: 0.2442
- Wer Ortho: 0.8376
- Wer: 0.8399

## 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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.1502        | 1.0   | 217  | 0.1780          | 1.1731    | 1.1960 |
| 0.0608        | 2.0   | 435  | 0.1869          | 1.1069    | 1.1209 |
| 0.0305        | 3.0   | 653  | 0.2029          | 1.1970    | 1.2144 |
| 0.0178        | 4.0   | 871  | 0.2186          | 1.3240    | 1.3458 |
| 0.0108        | 5.0   | 1088 | 0.2253          | 1.1080    | 1.1200 |
| 0.0076        | 6.0   | 1306 | 0.2301          | 1.0047    | 1.0155 |
| 0.0072        | 7.0   | 1524 | 0.2402          | 1.1153    | 1.1405 |
| 0.0051        | 8.0   | 1742 | 0.2434          | 1.0095    | 1.0264 |
| 0.0056        | 8.97  | 1953 | 0.2442          | 0.8376    | 0.8399 |


### Framework versions

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