| | --- |
| | 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 |
| | |
