--- 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: [] --- # 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