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

# whisperFinetuneFinal

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: 0.5711
- Wer: 22.2920

## 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 2.8037        | 0.2778 | 10   | 1.8972          | 34.0973 |
| 0.8101        | 0.5556 | 20   | 0.6863          | 28.6970 |
| 0.5778        | 0.8333 | 30   | 0.5491          | 22.8885 |
| 0.4375        | 1.1111 | 40   | 0.4962          | 20.7535 |
| 0.3437        | 1.3889 | 50   | 0.4767          | 20.2512 |
| 0.3277        | 1.6667 | 60   | 0.4921          | 21.0047 |
| 0.3431        | 1.9444 | 70   | 0.4972          | 20.4082 |
| 0.1331        | 2.2222 | 80   | 0.5317          | 25.7143 |
| 0.1385        | 2.5    | 90   | 0.5308          | 20.4396 |
| 0.146         | 2.7778 | 100  | 0.5711          | 22.2920 |


### Framework versions

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