Training in progress, step 40

README.md

@@ -25,17 +25,17 @@ 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 hf-internal-testing/librispeech_asr_dummy dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8100
-- eval_wer: 37.7953
-- eval_cer: 52.3438
-- eval_decode_time: 0.5008
-- eval_wer_time: 0.0396
-- eval_cer_time: 0.0045
-- eval_runtime: 2.1555
-- eval_samples_per_second: 4.639
-- eval_steps_per_second: 0.928
-- epoch: 1.11
-- step: 30
+- eval_loss: 0.6337
+- eval_wer: 40.9449
+- eval_cer: 73.7926
+- eval_decode_time: 0.5137
+- eval_wer_time: 0.0217
+- eval_cer_time: 0.0030
+- eval_runtime: 1.3876
+- eval_samples_per_second: 7.207
+- eval_steps_per_second: 1.441
+- epoch: 2.02
+- step: 40
 
 ## Model description
 

adapter_model.safetensors

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runs/Oct31_02-35-20_JacobdeMacBook-Pro.local/events.out.tfevents.1730313339.JacobdeMacBook-Pro.local.87069.0

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