---
language:
- ga
license: apache-2.0
tags:
- whisper-event
- generated_from_trainer
datasets:
- google/fleurs
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-large-v2-Irish
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: ga-IE
      split: test
      args: ga-IE
    metrics:
    - name: Wer
      type: wer
      value: 34.26248548199768
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: FLEURS
      type: mozilla-foundation/common_voice_11_0
    metrics:
    - name: Wer
      type: wer
      value: 
---

<!-- 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-Irish

This model is a fine-tuned version of [kpriyanshu256/whisper-large-v2-cy-500-32-1e-05](https://huggingface.co/kpriyanshu256/whisper-large-v2-cy-500-32-1e-05) on the Common Voice 11.0 and the FLEURS datasets.
It achieves the following results on the evaluation set:
- Loss: 0.7879
- Wer: 34.2625

## 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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.3768        | 0.25  | 250  | 0.7143          | 39.4890 |
| 0.1498        | 1.15  | 500  | 0.7663          | 35.8014 |
| 0.0907        | 2.05  | 750  | 0.7730          | 35.2497 |
| 0.045         | 2.3   | 1000 | 0.7879          | 34.2625 |


### Framework versions

- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2