transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer dataset:rishabhjain16/kaggle_albanian base_model:openai/whisper-medium license:apache-2.0 model-index endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- whisper-event
- generated_from_trainer
datasets:
- rishabhjain16/kaggle_albanian
metrics:
- wer
model-index:
- name: Whisper medium to Kaggle Albanian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: rishabhjain16/kaggle_albanian default
      type: rishabhjain16/kaggle_albanian
    metrics:
    - name: Wer
      type: wer
      value: 26.91
---

<!-- 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 to Kaggle Albanian

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the rishabhjain16/kaggle_albanian default dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3393
- Wer: 26.91

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Step | Validation Loss | Wer     |
|:-------------:|:----:|:---------------:|:-------:|
| 0.4716        | 500  | 0.5687          | 45.1093 |
| 0.3883        | 1000 | 0.4522          | 36.6402 |
| 0.3695        | 1500 | 0.4099          | 33.9459 |
| 0.3375        | 2000 | 0.3783          | 31.4906 |
| 0.2146        | 2500 | 0.3662          | 29.5184 |
| 0.2010        | 3000 | 0.3638          | 29.7474 |
| 0.1799        | 3500 | 0.3519          | 28.6020 |
| 0.1791        | 4000 | 0.3455          | 28.3978 |
| 0.0621        | 4500 | 0.3592          | 27.1452 |
| 0.0679        | 5000 | 0.3561          | 27.1079 |
| 0.0687        | 5500 | 0.3560          | 26.9186 |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.14.0a0+44dac51
- Datasets 2.17.1
- Tokenizers 0.15.2
