---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-fr
  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-fr

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: 0.8198
- Wer: 0.8502

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6250

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6223        | 1.0   | 250  | 0.7567          | 0.7225 |
| 0.475         | 2.0   | 500  | 0.6213          | 0.5461 |
| 0.2938        | 3.0   | 750  | 0.5860          | 0.5383 |
| 0.1613        | 4.0   | 1000 | 0.5903          | 0.4384 |
| 0.1026        | 5.0   | 1250 | 0.5992          | 0.4451 |
| 0.0615        | 6.0   | 1500 | 0.6322          | 0.5383 |
| 0.0422        | 7.0   | 1750 | 0.6398          | 0.4373 |
| 0.019         | 8.0   | 2000 | 0.6682          | 0.5239 |
| 0.0125        | 9.0   | 2250 | 0.6980          | 0.6681 |
| 0.0069        | 10.0  | 2500 | 0.7335          | 0.8679 |
| 0.0039        | 11.0  | 2750 | 0.7354          | 0.6238 |
| 0.0026        | 12.0  | 3000 | 0.7458          | 0.6315 |
| 0.0021        | 13.0  | 3250 | 0.7599          | 0.6715 |
| 0.0018        | 14.0  | 3500 | 0.7682          | 0.7103 |
| 0.0015        | 15.0  | 3750 | 0.7750          | 0.7081 |
| 0.0013        | 16.0  | 4000 | 0.7846          | 0.7125 |
| 0.0012        | 17.0  | 4250 | 0.7897          | 0.7114 |
| 0.001         | 18.0  | 4500 | 0.7962          | 0.9345 |
| 0.0009        | 19.0  | 4750 | 0.8001          | 0.7170 |
| 0.0009        | 20.0  | 5000 | 0.8074          | 0.8335 |
| 0.0008        | 21.0  | 5250 | 0.8107          | 0.8424 |
| 0.0007        | 22.0  | 5500 | 0.8152          | 0.8402 |
| 0.0007        | 23.0  | 5750 | 0.8181          | 0.8446 |
| 0.0007        | 24.0  | 6000 | 0.8187          | 0.8479 |
| 0.0007        | 25.0  | 6250 | 0.8198          | 0.8502 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3