Training in progress, step 20

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: 1.9885
-- eval_wer: 312.2047
-- eval_cer: 119.2472
-- eval_decode_time: 0.5334
-- eval_wer_time: 0.0169
-- eval_cer_time: 0.0041
-- eval_runtime: 2.8482
-- eval_samples_per_second: 3.511
-- eval_steps_per_second: 0.702
-- epoch: 0.1
-- step: 10
+- eval_loss: 1.1646
+- eval_wer: 258.2677
+- eval_cer: 100.0
+- eval_decode_time: 0.5213
+- eval_wer_time: 1.4057
+- eval_cer_time: 0.0046
+- eval_runtime: 2.7415
+- eval_samples_per_second: 3.648
+- eval_steps_per_second: 0.73
+- epoch: 1.01
+- step: 20
 
 ## 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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