---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-paper
  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-paper

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6807
- Wer: 50.8558

## 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: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 72   | 0.6515          | 50.3886 |
| No log        | 2.0   | 144  | 0.6566          | 50.8012 |
| No log        | 3.0   | 216  | 0.6624          | 50.3713 |
| No log        | 4.0   | 288  | 0.6684          | 50.8026 |
| No log        | 5.0   | 360  | 0.6807          | 50.8558 |


### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.7.0
- Tokenizers 0.13.3