End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- PolyAI/minds14
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-en-US
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PolyAI/minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train[450:]
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3884297520661157
+---
+
+<!-- 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-tiny-en-US
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9670
+- Wer Ortho: 0.3825
+- Wer: 0.3884
+
+## 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: 50
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.1121        | 35.71  | 500  | 0.7395          | 0.3646    | 0.3660 |
+| 0.0526        | 71.43  | 1000 | 0.8020          | 0.3615    | 0.3619 |
+| 0.0263        | 107.14 | 1500 | 0.8685          | 0.3769    | 0.3790 |
+| 0.0162        | 142.86 | 2000 | 0.9158          | 0.3782    | 0.3825 |
+| 0.0152        | 178.57 | 2500 | 0.9300          | 0.3800    | 0.3831 |
+| 0.0138        | 214.29 | 3000 | 0.9595          | 0.3905    | 0.3926 |
+| 0.0127        | 250.0  | 3500 | 0.9687          | 0.3899    | 0.3949 |
+| 0.0119        | 285.71 | 4000 | 0.9670          | 0.3825    | 0.3884 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+}

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