safecantonese/whisper-base-yue-hk-mdccl

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-base-yue-hk-mdccl
+  results: []
+---
+
+<!-- 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-base-yue-hk-mdccl
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3399
+- Cer: 17.7311
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- 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 | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.217         | 3.55  | 1000 | 0.3253          | 16.2053 |
+| 0.0911        | 7.1   | 2000 | 0.3196          | 16.5350 |
+| 0.0463        | 10.66 | 3000 | 0.3399          | 17.7311 |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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+}

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