JunWorks
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whisperBase_LoRA_zhTW

@@ -1,199 +1,80 @@
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-library_name: transformers
-tags: []
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 ---
+language:
+- zh
+license: apache-2.0
+library_name: peft
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+base_model: openai/whisper-base
+datasets:
+- mozilla-foundation/common_voice_13_0
+model-index:
+- name: Whisper Base zh-TW
+  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 zh-TW
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 13.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3839
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3981        | 1.0   | 1453  | 0.4017          |
+| 0.4016        | 2.0   | 2906  | 0.3960          |
+| 0.3543        | 3.0   | 4359  | 0.3933          |
+| 0.3638        | 4.0   | 5812  | 0.3905          |
+| 0.3953        | 5.0   | 7265  | 0.3895          |
+| 0.377         | 6.0   | 8718  | 0.3879          |
+| 0.3646        | 7.0   | 10171 | 0.3869          |
+| 0.3592        | 8.0   | 11624 | 0.3860          |
+| 0.3324        | 9.0   | 13077 | 0.3853          |
+| 0.3818        | 10.0  | 14530 | 0.3848          |
+| 0.3107        | 11.0  | 15983 | 0.3844          |
+| 0.3473        | 12.0  | 17436 | 0.3844          |
+| 0.3684        | 13.0  | 18889 | 0.3845          |
+| 0.3886        | 14.0  | 20342 | 0.3841          |
+| 0.3652        | 15.0  | 21795 | 0.3839          |
+### Framework versions
+- PEFT 0.9.1.dev0
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Mar22_11-09-59_Edge-Ai/events.out.tfevents.1711077002.Edge-Ai.3713574.1 CHANGED Viewed

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