Training in progress, step 1000

README.md

@@ -8,22 +8,9 @@ tags:
 - generated_from_trainer
 datasets:
 - octava/indonesian-voice-transcription-1.4.9a-cv-fl-slrjv-md
-metrics:
-- wer
 model-index:
 - name: Optimized Whisper Small Id for Inspirasi
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Extracted Youtube with CommonVoice11, Fleurs, OpenSLR, and MagicData
-      type: octava/indonesian-voice-transcription-1.4.9a-cv-fl-slrjv-md
-      args: 'config: id, split: train'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 19.96201329534663
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +20,13 @@ 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 Extracted Youtube with CommonVoice11, Fleurs, OpenSLR, and MagicData dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3376
-- Wer: 19.9620
+- eval_loss: 0.3722
+- eval_wer: 20.3324
+- eval_runtime: 495.0068
+- eval_samples_per_second: 3.527
+- eval_steps_per_second: 0.222
+- epoch: 3.0354
+- step: 9000
 
 ## Model description
 
@@ -60,25 +52,9 @@ The following hyperparameters were used during training:
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 10000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.4122        | 0.1686 | 500  | 0.3999          | 24.8908 |
-| 0.2737        | 0.3373 | 1000 | 0.3655          | 22.4691 |
-| 0.2311        | 0.5059 | 1500 | 0.3491          | 21.5195 |
-| 0.1947        | 0.6745 | 2000 | 0.3339          | 21.5100 |
-| 0.169         | 0.8432 | 2500 | 0.3408          | 20.6363 |
-| 0.0875        | 1.0118 | 3000 | 0.3429          | 21.2726 |
-| 0.0877        | 1.1804 | 3500 | 0.3430          | 20.4748 |
-| 0.0726        | 1.3491 | 4000 | 0.3396          | 20.2469 |
-| 0.0741        | 1.5177 | 4500 | 0.3378          | 20.2754 |
-| 0.0675        | 1.6863 | 5000 | 0.3376          | 19.9620 |
-
-
 ### Framework versions
 
 - Transformers 4.49.0

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training_args.bin

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