---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: whisper-tiny-fi-lora
  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-fi-lora

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6958
- Wer: 75.1203

## 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: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer     |
|:-------------:|:-------:|:----:|:---------------:|:-------:|
| 3.7258        | 0.3690  | 100  | 3.6261          | 82.2153 |
| 2.1228        | 0.7380  | 200  | 1.9384          | 86.0270 |
| 0.951         | 1.1070  | 300  | 0.9630          | 82.1964 |
| 0.7932        | 1.4760  | 400  | 0.8430          | 82.5644 |
| 0.7635        | 1.8450  | 500  | 0.8000          | 85.1967 |
| 0.7242        | 2.2140  | 600  | 0.7735          | 79.3094 |
| 0.7099        | 2.5830  | 700  | 0.7573          | 82.7437 |
| 0.6686        | 2.9520  | 800  | 0.7504          | 80.5265 |
| 0.6476        | 3.3210  | 900  | 0.7415          | 78.7716 |
| 0.6494        | 3.6900  | 1000 | 0.7316          | 83.7626 |
| 0.6069        | 4.0590  | 1100 | 0.7307          | 78.5263 |
| 0.6463        | 4.4280  | 1200 | 0.7254          | 79.0358 |
| 0.5897        | 4.7970  | 1300 | 0.7210          | 78.9414 |
| 0.5816        | 5.1661  | 1400 | 0.7161          | 79.0924 |
| 0.5677        | 5.5351  | 1500 | 0.7174          | 76.4978 |
| 0.5584        | 5.9041  | 1600 | 0.7116          | 77.7715 |
| 0.5027        | 6.2731  | 1700 | 0.7081          | 76.0921 |
| 0.5214        | 6.6421  | 1800 | 0.7114          | 76.3657 |
| 0.5503        | 7.0111  | 1900 | 0.7113          | 76.3751 |
| 0.5057        | 7.3801  | 2000 | 0.7065          | 75.7713 |
| 0.5338        | 7.7491  | 2100 | 0.7052          | 76.4978 |
| 0.4457        | 8.1181  | 2200 | 0.7052          | 75.8562 |
| 0.5183        | 8.4871  | 2300 | 0.7017          | 76.7337 |
| 0.4988        | 8.8561  | 2400 | 0.7006          | 75.9600 |
| 0.4858        | 9.2251  | 2500 | 0.7001          | 75.6958 |
| 0.5024        | 9.5941  | 2600 | 0.7009          | 76.8752 |
| 0.5111        | 9.9631  | 2700 | 0.6998          | 75.6015 |
| 0.4985        | 10.3321 | 2800 | 0.6987          | 77.9791 |
| 0.4725        | 10.7011 | 2900 | 0.6975          | 77.4035 |
| 0.4497        | 11.0701 | 3000 | 0.6970          | 75.3090 |
| 0.4534        | 11.4391 | 3100 | 0.6972          | 75.4883 |
| 0.4839        | 11.8081 | 3200 | 0.6962          | 78.0262 |
| 0.4543        | 12.1771 | 3300 | 0.6970          | 75.7147 |
| 0.4586        | 12.5461 | 3400 | 0.6978          | 75.6581 |
| 0.4656        | 12.9151 | 3500 | 0.6997          | 76.3374 |
| 0.4177        | 13.2841 | 3600 | 0.6951          | 76.0449 |
| 0.4443        | 13.6531 | 3700 | 0.6965          | 75.3279 |
| 0.4698        | 14.0221 | 3800 | 0.6975          | 75.3562 |
| 0.4412        | 14.3911 | 3900 | 0.6957          | 75.2807 |
| 0.4027        | 14.7601 | 4000 | 0.6955          | 77.0356 |
| 0.4755        | 15.1292 | 4100 | 0.6963          | 75.4505 |
| 0.4487        | 15.4982 | 4200 | 0.6950          | 75.1014 |
| 0.4237        | 15.8672 | 4300 | 0.6967          | 75.2241 |
| 0.4222        | 16.2362 | 4400 | 0.6975          | 75.3090 |
| 0.408         | 16.6052 | 4500 | 0.6975          | 75.2618 |
| 0.4671        | 16.9742 | 4600 | 0.6947          | 75.0448 |
| 0.448         | 17.3432 | 4700 | 0.6954          | 75.2901 |
| 0.4253        | 17.7122 | 4800 | 0.6956          | 75.0826 |
| 0.44          | 18.0812 | 4900 | 0.6959          | 75.1392 |
| 0.4053        | 18.4502 | 5000 | 0.6958          | 75.1203 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1