---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: fs-w-he-tiny
  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. -->

# fs-w-he-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6276
- Wer: 139.9335
- Cer: 134.1807

## 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      | Cer      |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:--------:|
| 10.7026       | 4.5872  | 500  | 10.1826         | 184.1406 | 154.3198 |
| 2.9461        | 9.1743  | 1000 | 3.4468          | 227.1130 | 234.3696 |
| 1.2202        | 13.7615 | 1500 | 2.2670          | 130.1045 | 120.0275 |
| 0.5577        | 18.3486 | 2000 | 1.9164          | 113.2953 | 101.0735 |
| 0.2603        | 22.9358 | 2500 | 1.9956          | 138.4615 | 129.8952 |
| 0.0533        | 27.5229 | 3000 | 2.1263          | 130.7217 | 120.5428 |
| 0.012         | 32.1101 | 3500 | 2.3153          | 111.6334 | 96.2985  |
| 0.0012        | 36.6972 | 4000 | 2.4891          | 126.2108 | 114.8574 |
| 0.0003        | 41.2844 | 4500 | 2.5962          | 139.4112 | 129.4401 |
| 0.0002        | 45.8716 | 5000 | 2.6276          | 139.9335 | 134.1807 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0