End of training

README.md

@@ -0,0 +1,84 @@
+---
+language:
+- uk
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ukrainian
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
+      config: uk
+      split: None
+      args: 'config: uk, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 26.357029928161317
+---
+
+<!-- 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 Small Ukrainian
+
+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: 0.2744
+- Wer: 26.3570
+
+## 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.278         | 0.47  | 1000 | 0.3330          | 31.8004 |
+| 0.2662        | 0.94  | 2000 | 0.2961          | 29.4969 |
+| 0.1403        | 1.42  | 3000 | 0.2796          | 27.3209 |
+| 0.1105        | 1.89  | 4000 | 0.2702          | 26.2724 |
+| 0.0719        | 2.36  | 5000 | 0.2744          | 26.3570 |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+  "forced_decoder_ids": [
+    [
+      1,
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+    [
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
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+    "<|fr|>": 50265,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "uk",
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+  "transformers_version": "4.38.0.dev0"
+}

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