End of training

README.md

@@ -0,0 +1,68 @@
+---
+language:
+- yue
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper Large V2 - Cantonese - Augmented
+  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 Large V2 - Cantonese - Augmented
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2004
+- Cer: 100.0
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 0.1124        | 1.2   | 200  | 0.1755          | 100.0 |
+| 0.0397        | 2.41  | 400  | 0.1766          | 100.0 |
+| 0.0176        | 3.61  | 600  | 0.1859          | 100.0 |
+| 0.0063        | 4.82  | 800  | 0.1951          | 100.0 |
+| 0.0017        | 6.02  | 1000 | 0.2004          | 100.0 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3

generation_config.json

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+  "transformers_version": "4.32.0.dev0"
+}

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