End of training

README.md

@@ -1,13 +1,13 @@
 ---
+base_model: openai/whisper-small
+datasets:
+- mozilla-foundation/common_voice_16_1
 language:
 - nan
-license: apache-2.0
 library_name: peft
+license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_16_1
-base_model: openai/whisper-small
 model-index:
 - name: Whisper small Taiwanese - LoRA
   results: []
@@ -20,7 +20,7 @@ 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 Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8855
+- Loss: 0.8856
 
 ## Model description
 
@@ -59,7 +59,7 @@ The following hyperparameters were used during training:
 | 0.846         | 2.0   | 5056  | 0.9359          |
 | 0.7486        | 3.0   | 7585  | 0.8879          |
 | 0.6056        | 4.0   | 10112 | 0.8839          |
-| 0.4393        | 5.0   | 12640 | 0.8855          |
+| 0.4393        | 5.0   | 12640 | 0.8856          |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Sep01_17-58-58_d803177e0c65/events.out.tfevents.1725213540.d803177e0c65.23.0

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training_args.bin

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