transformers tensorboard safetensors whisper automatic-speech-recognition whisper-event generated_from_trainer dataset:rishabhjain16/owr_cv_albanian base_model:openai/whisper-large-v2 license:apache-2.0 model-index endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- whisper-event
- generated_from_trainer
datasets:
- rishabhjain16/owr_cv_albanian
metrics:
- wer
model-index:
- name: Whisper large V2 to CV Albanian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: rishabhjain16/owr_cv_albanian default
      type: rishabhjain16/owr_cv_albanian
    metrics:
    - name: Wer
      type: wer
      value: 34.623217922606926
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Whisper large V2 to CV Albanian

This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the rishabhjain16/owr_cv_albanian default dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7918
- Wer: 34.6232

## 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0515        | 9.0   | 500  | 0.6733          | 42.4847 |
| 0.0101        | 18.01 | 1000 | 0.6810          | 37.5967 |
| 0.0074        | 27.01 | 1500 | 0.7185          | 38.0855 |
| 0.0009        | 37.0  | 2000 | 0.6987          | 35.5193 |
| 0.0002        | 46.0  | 2500 | 0.7393          | 35.0305 |
| 0.0001        | 55.01 | 3000 | 0.7603          | 35.0305 |
| 0.0001        | 64.01 | 3500 | 0.7739          | 34.8676 |
| 0.0001        | 74.0  | 4000 | 0.7832          | 34.8269 |
| 0.0001        | 83.0  | 4500 | 0.7895          | 34.9084 |
| 0.0001        | 92.01 | 5000 | 0.7918          | 34.6232 |


### Framework versions

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