End of training

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+language:
+- ru
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- skinnynpale/sasha-ai-asr-dataset-22
+metrics:
+- wer
+model-index:
+- name: Whisper Large V3 Turbo Russian
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: skinnynpale/sasha-ai-asr-dataset-22
+      type: skinnynpale/sasha-ai-asr-dataset-22
+      args: 'split: train+validation'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.4558936614302977
+---
+
+<!-- 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 Large V3 Turbo Russian
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the skinnynpale/sasha-ai-asr-dataset-22 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0165
+- Wer: 0.4559
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0831        | 0.8183 | 1000 | 0.0442          | 1.6258 |
+| 0.0973        | 1.6367 | 2000 | 0.0251          | 1.1095 |
+| 0.077         | 2.4550 | 3000 | 0.0204          | 0.7415 |
+| 0.0515        | 3.2733 | 4000 | 0.0165          | 0.4559 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.1

generation_config.json

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+    [
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "ru",
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+  "max_length": 448,
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+  "prev_sot_token_id": 50362,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.45.2"
+}