End of training

README.md

@@ -19,6 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
 # jeju_stt
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the jeju_audio dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3821
+- Cer: 11.9723
 
 ## Model description
 
@@ -44,11 +47,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 40
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3689        | 2.0   | 1000 | 0.3850          | 13.3992 |
+| 0.1887        | 4.0   | 2000 | 0.3482          | 11.9225 |
+| 0.1057        | 6.0   | 3000 | 0.3603          | 11.8446 |
+| 0.0637        | 8.0   | 4000 | 0.3821          | 11.9723 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fc63e264a98478049ec4315aee001779095e2d00e67a4bebf2dbe5b98d373748
 size 290403936