End of training

README.md

@@ -0,0 +1,82 @@
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: Whisper Large v3 Turbo - Bahriddin Muminov
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: uz
+      split: test
+      args: 'config: uz, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 99.63288088608068
+---
+
+<!-- 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 - Bahriddin Muminov
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3021
+- Wer: 99.6329
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.4875        | 0.33  | 1000 | 0.4542          | 72.0290 |
+| 0.3835        | 0.66  | 2000 | 0.3775          | 100.0   |
+| 0.3371        | 0.99  | 3000 | 0.3221          | 100.0   |
+| 0.2244        | 1.32  | 4000 | 0.3021          | 99.6329 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "uzbek",
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+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50360,
+    "translate": 50359
+  },
+  "transformers_version": "4.37.2"
+}

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