---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: multi-whisper-playground
  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. -->

# multi-whisper-playground

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8508
- Wer: 195.4146
- Acc: 12.6021

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer      | Acc     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
| 2.2601        | 1.0   | 215  | 2.1670          | 210.5479 | 12.2520 |
| 1.8422        | 2.0   | 430  | 1.9717          | 187.2986 | 12.2520 |
| 1.6574        | 3.0   | 645  | 1.8943          | 162.3279 | 12.2520 |
| 1.4953        | 4.0   | 860  | 1.8562          | 187.3132 | 12.1354 |
| 1.4436        | 5.0   | 1075 | 1.8402          | 173.3153 | 12.2520 |
| 1.322         | 6.0   | 1290 | 1.8362          | 184.9692 | 12.4854 |
| 1.2386        | 7.0   | 1505 | 1.8372          | 183.5409 | 12.6021 |
| 1.1252        | 8.0   | 1720 | 1.8430          | 192.3747 | 12.6021 |
| 1.0449        | 9.0   | 1935 | 1.8459          | 198.8866 | 12.6021 |
| 1.0509        | 10.0  | 2150 | 1.8508          | 195.4146 | 12.6021 |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0