transformers pytorch whisper automatic-speech-recognition generated_from_trainer base_model:openai/whisper-tiny license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-tsukuyomi
  results: []
---

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# whisper-tiny-tsukuyomi

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: 0.0655
- Wer: 12.5

## 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: 8
- 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: 10
- training_steps: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer   |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 5.8824        | 3.33  | 10   | 5.3742          | 100.0 |
| 3.5587        | 6.67  | 20   | 1.4774          | 50.0  |
| 0.7316        | 10.0  | 30   | 0.1563          | 12.5  |
| 0.0253        | 13.33 | 40   | 0.0655          | 12.5  |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
