---
library_name: transformers
language:
- tr
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
model-index:
- name: whisper-tiny-turkish-0
  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-turkish-0

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3266

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 22500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.6204        | 0.0444 | 1000  | 0.6094          |
| 0.5242        | 0.0889 | 2000  | 0.5179          |
| 0.4348        | 0.1333 | 3000  | 0.4674          |
| 0.4048        | 0.1778 | 4000  | 0.4278          |
| 0.3708        | 0.2222 | 5000  | 0.4044          |
| 0.3489        | 0.2667 | 6000  | 0.3904          |
| 0.3276        | 0.3111 | 7000  | 0.3802          |
| 0.3164        | 0.3556 | 8000  | 0.3687          |
| 0.3036        | 0.4    | 9000  | 0.3586          |
| 0.2878        | 0.4444 | 10000 | 0.3548          |
| 0.2831        | 0.4889 | 11000 | 0.3476          |
| 0.2696        | 0.5333 | 12000 | 0.3411          |
| 0.2713        | 0.5778 | 13000 | 0.3383          |
| 0.2512        | 0.6222 | 14000 | 0.3356          |
| 0.2319        | 1.0202 | 15000 | 0.3329          |
| 0.2443        | 1.0647 | 16000 | 0.3288          |
| 0.2242        | 1.1091 | 17000 | 0.3299          |
| 0.2236        | 1.1536 | 18000 | 0.3291          |
| 0.2214        | 1.198  | 19000 | 0.3271          |
| 0.2208        | 1.2424 | 20000 | 0.3264          |
| 0.2132        | 1.2869 | 21000 | 0.3268          |
| 0.2187        | 1.3313 | 22000 | 0.3266          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3