End of training

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the HAT ASR Aligned dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0352
-- eval_cer: 1.1374
-- eval_runtime: 1066.1047
-- eval_samples_per_second: 4.276
-- eval_steps_per_second: 0.134
+- eval_loss: 0.0505
+- eval_cer: 2.4343
+- eval_runtime: 597.3234
+- eval_samples_per_second: 7.632
+- eval_steps_per_second: 0.239
 - step: 0
 
 ## Model description
@@ -43,7 +43,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
+- learning_rate: 1e-05
 - train_batch_size: 64
 - eval_batch_size: 32
 - seed: 42

model.safetensors

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training_args.bin

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