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

# whisperFinetuneTakeTwo

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5685
- Wer: 26.8493

## 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: 0.001
- train_batch_size: 128
- 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: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 2.8768        | 0.2778 | 10   | 1.8749          | 35.4033 |
| 0.8301        | 0.5556 | 20   | 0.6687          | 24.9619 |
| 0.5543        | 0.8333 | 30   | 0.5484          | 22.9224 |
| 0.3902        | 1.1111 | 40   | 0.5108          | 20.3044 |
| 0.3395        | 1.3889 | 50   | 0.4900          | 20.6088 |
| 0.3255        | 1.6667 | 60   | 0.4830          | 20.7915 |
| 0.362         | 1.9444 | 70   | 0.4867          | 20.6393 |
| 0.1228        | 2.2222 | 80   | 0.5114          | 20.8524 |
| 0.1288        | 2.5    | 90   | 0.5299          | 21.3090 |
| 0.1513        | 2.7778 | 100  | 0.5685          | 26.8493 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1