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whisper/whisper_base_finetuned/README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+metrics:
+- wer
+model-index:
+- name: whisper_base_finetuned
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3192600084831479
+---
+
+<!-- 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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/querying/huggingface/runs/1wtpwccg)
+# whisper_base_finetuned
+
+This model was trained from scratch on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3375
+- Wer: 0.3193
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4111        | 1.0   | 973  | 0.4590          | 0.4551 |
+| 0.4068        | 2.0   | 1946 | 0.3847          | 0.4812 |
+| 0.3617        | 3.0   | 2919 | 0.3585          | 0.4326 |
+| 0.3144        | 4.0   | 3892 | 0.3436          | 0.3594 |
+| 0.272         | 5.0   | 4865 | 0.3425          | 0.3639 |
+| 0.2246        | 6.0   | 5838 | 0.3371          | 0.3341 |
+| 0.1541        | 7.0   | 6811 | 0.3404          | 0.3377 |
+| 0.1387        | 8.0   | 7784 | 0.3370          | 0.3196 |
+| 0.1554        | 9.0   | 8757 | 0.3387          | 0.3113 |
+| 0.1692        | 10.0  | 9730 | 0.3375          | 0.3193 |
+
+
+### Framework versions
+
+- Transformers 4.42.0.dev0
+- Pytorch 2.2.1
+- Datasets 2.19.0
+- Tokenizers 0.19.1

whisper/whisper_base_finetuned/checkpoint-1946/config.json

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+  "vocab_size": 51865
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