End of training

README.md

@@ -9,19 +9,19 @@ tags:
 datasets:
 - potatoSeop/chimsuja_dataset
 model-index:
-- name: whisper-chimsuja
+- name: whisper-chimsuja-added
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# whisper-chimsuja
+# whisper-chimsuja-added
 
 This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the potatoSeop/chimsuja_dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3905
-- Cer: 14.6379
+- Loss: 0.1292
+- Cer: 4.5958
 
 ## Model description
 
@@ -52,14 +52,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Cer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0308        | 7.94  | 1000 | 0.3905          | 14.6379 |
+| Training Loss | Epoch | Step  | Validation Loss | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.0215        | 4.03  | 5000  | 0.1357          | 4.5024 |
+| 0.0032        | 8.06  | 10000 | 0.1292          | 4.5958 |
 
 
 ### Framework versions
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
-- Datasets 2.16.0
+- Datasets 2.16.1
 - Tokenizers 0.15.0

model.safetensors

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