---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-small_finetuned_sh_chich
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small_finetuned_sh_chich

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8519
- Wer: 78.0391

## 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0093        | 4.39  | 500  | 1.7602          | 81.0872 |
| 0.0054        | 8.77  | 1000 | 1.8002          | 79.9472 |
| 0.0064        | 13.16 | 1500 | 1.8589          | 77.7511 |
| 0.0046        | 17.54 | 2000 | 1.8519          | 78.0391 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3