Training in progress, step 1500

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-large-v2](https://huggingface.co/openai/whisper-large-v2) on the JacobLinCool/common_voice_19_0_zh-TW dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1210
-- eval_wer: 40.4548
-- eval_cer: 14.4620
-- eval_decode_runtime: 90.3624
-- eval_wer_runtime: 0.1421
-- eval_cer_runtime: 0.1701
-- eval_runtime: 332.9706
-- eval_samples_per_second: 15.055
-- eval_steps_per_second: 0.472
-- epoch: 0.2
-- step: 1000
+- eval_loss: 0.1192
+- eval_wer: 42.0108
+- eval_cer: 17.1669
+- eval_decode_runtime: 91.7088
+- eval_wer_runtime: 0.1238
+- eval_cer_runtime: 0.1555
+- eval_runtime: 334.8833
+- eval_samples_per_second: 14.969
+- eval_steps_per_second: 0.469
+- epoch: 0.3
+- step: 1500
 
 ## Model description
 

adapter_model.safetensors

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