End of training

README.md

@@ -0,0 +1,83 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Base English - Chee Li
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Google Fleurs
+      type: fleurs
+      config: en_us
+      split: None
+      args: 'config: en split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.915225878416063
+---
+
+<!-- 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 English - Chee Li
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Google Fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5048
+- Wer: 13.9152
+
+## 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 0.0182        | 5.3191  | 1000 | 0.4233          | 15.7209 |
+| 0.0018        | 10.6383 | 2000 | 0.4743          | 13.7061 |
+| 0.001         | 15.9574 | 3000 | 0.4963          | 13.6433 |
+| 0.0008        | 21.2766 | 4000 | 0.5048          | 13.9152 |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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