End of training

README.md

@@ -21,13 +21,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AshtonLKY/augmented_audio dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1283
-- eval_wer: 11.5421
-- eval_runtime: 5463.6223
-- eval_samples_per_second: 2.46
-- eval_steps_per_second: 0.154
-- epoch: 0.5952
-- step: 2000
+- eval_loss: 0.0904
+- eval_wer: 7.1378
+- eval_runtime: 5253.1914
+- eval_samples_per_second: 2.558
+- eval_steps_per_second: 0.16
+- epoch: 1.1905
+- step: 4000
 
 ## Model description
 
@@ -59,6 +59,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.3.1+cu121
+- Pytorch 2.4.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fec8b01770431d7c1e084cff8565b41eb1088fcbd0b641919d78da7016285169
+oid sha256:0b2d649db227d93241be6b4806c49f982e01093db4377af908c7f1fd67f1f3df
 size 966995080