End of training

README.md

@@ -15,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # whisper-base-akan-v1
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.0085
+- eval_runtime: 32.8168
+- eval_samples_per_second: 6.094
+- eval_steps_per_second: 0.762
+- epoch: 20.0
+- step: 1000
 
 ## Model description
 
@@ -33,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42

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