---
library_name: transformers
license: apache-2.0
base_model: davidilag/whisper-tiny-no-is-5k-steps
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-tiny-no-is-fo-100h-5k-steps_v2
  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-no-is-fo-100h-5k-steps_v2

This model is a fine-tuned version of [davidilag/whisper-tiny-no-is-5k-steps](https://huggingface.co/davidilag/whisper-tiny-no-is-5k-steps) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4825
- Wer: 37.0143

## 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: 16
- 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     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.8277        | 0.2320 | 1000 | 0.7912          | 52.0838 |
| 0.6065        | 0.4640 | 2000 | 0.6015          | 43.4316 |
| 0.5406        | 0.6961 | 3000 | 0.5281          | 39.9990 |
| 0.5429        | 0.9281 | 4000 | 0.4930          | 37.6736 |
| 0.4447        | 1.1601 | 5000 | 0.4825          | 37.0143 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1