End of training

README.md

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+---
+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

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