End of training

README.md

@@ -13,9 +13,21 @@ tags:
 - generated_from_trainer
 datasets:
 - ntnu-smil/sandi2025-ds
+metrics:
+- wer
 model-index:
 - name: whisper-large-v3-sandi-3k-1024-28steps
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: ntnu-smil/sandi2025-ds
+      type: ntnu-smil/sandi2025-ds
+    metrics:
+    - type: wer
+      value: 78.0237561916606
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -25,17 +37,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0370
-- eval_wer: 78.0238
-- eval_cer: 215.7449
-- eval_decode_runtime: 252.2954
-- eval_wer_runtime: 0.1988
-- eval_cer_runtime: 0.4668
-- eval_runtime: 500.0374
-- eval_samples_per_second: 6.498
-- eval_steps_per_second: 0.204
-- epoch: 9.0357
-- step: 28
+- Loss: 1.0370
+- Wer: 78.0238
+- Cer: 215.7449
+- Decode Runtime: 252.2954
+- Wer Runtime: 0.1988
+- Cer Runtime: 0.4668
 
 ## Model description
 
@@ -64,6 +71,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 28
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer      | Decode Runtime | Wer Runtime | Cer Runtime |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:|
+| 2.6493        | 2.0357 | 7    | 1.3706          | 67.2148 | 209.8014 | 252.1421       | 0.2012      | 0.4813      |
+| 1.1778        | 4.0714 | 14   | 1.1881          | 82.9771 | 226.7708 | 259.9550       | 0.1999      | 0.4853      |
+| 0.9983        | 6.1071 | 21   | 1.0717          | 79.1953 | 220.4455 | 259.7244       | 0.2083      | 0.4860      |
+| 1.9008        | 9.0357 | 28   | 1.0370          | 78.0238 | 215.7449 | 252.2954       | 0.1988      | 0.4668      |
+
+
 ### Framework versions
 
 - PEFT 0.15.2

adapter_model.safetensors

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