End of training

README.md

@@ -2,10 +2,10 @@
 language:
 - ko
 license: apache-2.0
+base_model: openai/whisper-base
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
-base_model: openai/whisper-base
 datasets:
 - rlaorrn/working
 model-index:
@@ -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: 0.3820
+- Cer: 12.0409
 
 ## Model description
 
@@ -43,12 +46,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 5
-- training_steps: 4
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3689        | 2.0   | 1000 | 0.3853          | 13.4054 |
+| 0.1884        | 4.0   | 2000 | 0.3488          | 11.9817 |
+| 0.1059        | 6.0   | 3000 | 0.3607          | 11.9350 |
+| 0.0634        | 8.0   | 4000 | 0.3820          | 12.0409 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:480ed3db0f07c58b5b1e7be50d91782b7dde836ea2bead33e59a788310d2856d
 size 290403936