End of training

README.md

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+---
+library_name: transformers
+language:
+- yue
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_15_0
+- mozilla-foundation/common_voice_16_1
+metrics:
+- wer
+model-index:
+- name: Whisper Small Canontese X v2
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_15_0
+      config: zh-HK
+      split: None
+      args: 'config: zh-HK, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 59.33048433048433
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 15.0
+      type: mozilla-foundation/common_voice_16_1
+    metrics:
+    - name: Wer
+      type: wer
+      value: 59.33048433048433
+---
+
+<!-- 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 Canontese X v2
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 and the Common Voice 15.0 datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.2720
+- Wer: 59.3305
+
+## 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: 4
+- 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: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.2939        | 0.7918 | 1000 | 0.3060          | 65.9188 |
+| 0.1498        | 1.5835 | 2000 | 0.2803          | 61.6809 |
+| 0.0662        | 2.3753 | 3000 | 0.2720          | 59.3305 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+  "transformers_version": "4.44.2"
+}