whisper-medium-nya

README.md

@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4364
-- eval_wer: 0.2745
-- eval_cer: 0.1100
-- eval_runtime: 659.4612
-- eval_samples_per_second: 0.943
-- eval_steps_per_second: 0.118
-- epoch: 1.4780
-- step: 3000
+- eval_loss: 0.4782
+- eval_wer: 0.3930
+- eval_cer: 0.1738
+- eval_runtime: 593.8728
+- eval_samples_per_second: 1.047
+- eval_steps_per_second: 0.131
+- epoch: 0.8869
+- step: 1800
 
 ## Model description
 
@@ -57,6 +57,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.48.0
-- Pytorch 2.6.0+cu124
+- Pytorch 2.8.0+cu126
 - Datasets 3.6.0
-- Tokenizers 0.21.2
+- Tokenizers 0.21.4

model.safetensors

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runs/Oct30_09-09-23_fa38fc45d108/events.out.tfevents.1761815368.fa38fc45d108.1905.0

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training_args.bin

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