---
library_name: transformers
language:
- tr
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
model-index:
- name: whisper-small-turkish-1
  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-small-turkish-1

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2199

## 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: 32
- eval_batch_size: 32
- 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: 40000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.295         | 0.05   | 2000  | 0.2957          |
| 0.2732        | 0.1    | 4000  | 0.2737          |
| 0.2334        | 0.15   | 6000  | 0.2588          |
| 0.2148        | 0.2    | 8000  | 0.2413          |
| 0.194         | 0.25   | 10000 | 0.2314          |
| 0.1816        | 0.3    | 12000 | 0.2264          |
| 0.1654        | 0.35   | 14000 | 0.2226          |
| 0.1537        | 0.4    | 16000 | 0.2174          |
| 0.1456        | 0.45   | 18000 | 0.2152          |
| 0.1366        | 0.5    | 20000 | 0.2139          |
| 0.1291        | 0.55   | 22000 | 0.2136          |
| 0.1186        | 0.6    | 24000 | 0.2109          |
| 0.1192        | 0.65   | 26000 | 0.2128          |
| 0.1056        | 0.7    | 28000 | 0.2129          |
| 0.0779        | 1.0228 | 30000 | 0.2182          |
| 0.0907        | 1.0728 | 32000 | 0.2144          |
| 0.0748        | 1.1228 | 34000 | 0.2189          |
| 0.0746        | 1.1728 | 36000 | 0.2199          |
| 0.0785        | 1.2228 | 38000 | 0.2206          |
| 0.0739        | 1.2728 | 40000 | 0.2199          |


### Framework versions

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