End of training

README.md

@@ -0,0 +1,85 @@
+---
+language:
+- ru
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- bond005/podlodka_speech
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-ru
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Podlodka Speech
+      type: bond005/podlodka_speech
+      args: 'config: ru, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 99.38757655293088
+---
+
+<!-- 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-ru
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Podlodka Speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4991
+- Wer: 99.3876
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer      |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 0.295         | 5.5556  | 50   | 1.1982          | 83.2896  |
+| 0.1297        | 11.1111 | 100  | 1.2768          | 76.0280  |
+| 0.0517        | 16.6667 | 150  | 1.3594          | 72.5284  |
+| 0.0203        | 22.2222 | 200  | 1.3969          | 85.4768  |
+| 0.0094        | 27.7778 | 250  | 1.4394          | 104.2870 |
+| 0.0061        | 33.3333 | 300  | 1.4646          | 87.8390  |
+| 0.0049        | 38.8889 | 350  | 1.4813          | 90.4637  |
+| 0.0043        | 44.4444 | 400  | 1.4909          | 86.7017  |
+| 0.004         | 50.0    | 450  | 1.4973          | 99.6500  |
+| 0.0038        | 55.5556 | 500  | 1.4991          | 99.3876  |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.40.2"
+}

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