---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-v2-ta_50
  results: []
---

<!-- 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-tiny-v2-ta_50

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2683
- Wer: 31.0896

## 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: 0.00015
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 500
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4405        | 0.11  | 300  | 0.4624          | 105.3753 |
| 0.3629        | 0.21  | 600  | 0.4473          | 40.7264  |
| 0.3163        | 0.32  | 900  | 0.3771          | 35.1090  |
| 0.279         | 0.42  | 1200 | 0.3547          | 34.9153  |
| 0.2594        | 0.53  | 1500 | 0.3311          | 31.6223  |
| 0.2284        | 0.63  | 1800 | 0.3131          | 29.3947  |
| 0.2294        | 0.74  | 2100 | 0.2863          | 27.5061  |
| 0.2022        | 0.84  | 2400 | 0.2735          | 27.2155  |
| 0.185         | 0.95  | 2700 | 0.2683          | 31.0896  |


### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 1.12.1
- Datasets 2.11.0
- Tokenizers 0.13.3