Training in progress, step 70

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: 0.2922
-- eval_wer: 8.2677
-- eval_cer: 97.5852
-- eval_decode_time: 0.5434
-- eval_wer_time: 0.0060
-- eval_cer_time: 0.0032
-- eval_runtime: 1.3214
-- eval_samples_per_second: 7.568
-- eval_steps_per_second: 1.514
-- epoch: 3.03
-- step: 60
+- eval_loss: 0.2026
+- eval_wer: 9.0551
+- eval_cer: 83.5227
+- eval_decode_time: 0.5359
+- eval_wer_time: 0.0063
+- eval_cer_time: 0.0033
+- eval_runtime: 1.3431
+- eval_samples_per_second: 7.445
+- eval_steps_per_second: 1.489
+- epoch: 3.13
+- step: 70
 
 ## Model description
 

adapter_model.safetensors

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