End of training

README.md

@@ -0,0 +1,84 @@
+---
+language:
+- multilingual
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_16_0
+metrics:
+- wer
+model-index:
+- name: Whisper medium nan-tw
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0
+      type: mozilla-foundation/common_voice_16_0
+      config: nan-tw
+      split: test
+      args: 'config: nan-tw, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 100.17785682525566
+---
+
+<!-- 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 medium nan-tw
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0525
+- Wer: 100.1779
+
+## 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      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.182         | 3.05  | 1000 | 0.9951          | 100.5780 |
+| 0.0087        | 6.1   | 2000 | 1.0259          | 100.0889 |
+| 0.004         | 9.15  | 3000 | 1.0234          | 100.0445 |
+| 0.0002        | 12.2  | 4000 | 1.0484          | 100.1334 |
+| 0.0002        | 15.24 | 5000 | 1.0525          | 100.1779 |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+  "transformers_version": "4.37.1"
+}

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