End of training

README.md

@@ -10,9 +10,21 @@ tags:
 - transformers
 datasets:
 - ntnu-smil/ami-1s-ft
+metrics:
+- wer
 model-index:
 - name: whisper-large-v3-turbo-ami-1
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: ntnu-smil/ami-1s-ft
+      type: ntnu-smil/ami-1s-ft
+    metrics:
+    - type: wer
+      value: 40.4099560761347
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,17 +34,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the ntnu-smil/ami-1s-ft dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 3.4985
-- eval_wer: 40.4100
-- eval_cer: 34.3391
-- eval_decode_runtime: 0.0102
-- eval_wer_runtime: 0.0078
-- eval_cer_runtime: 0.0077
-- eval_runtime: 3.3601
-- eval_samples_per_second: 23.214
-- eval_steps_per_second: 0.298
-- epoch: 1.0
-- step: 2000
+- Loss: 3.4985
+- Wer: 40.4100
+- Cer: 34.3391
+- Decode Runtime: 0.0102
+- Wer Runtime: 0.0078
+- Cer Runtime: 0.0077
 
 ## Model description
 
@@ -59,6 +66,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - training_steps: 2000
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Decode Runtime | Wer Runtime | Cer Runtime |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:|
+| No log        | 0     | 0    | 3.9428          | 53.6237 | 39.2308 | 0.0108         | 0.0079      | 0.0071      |
+| 0.4259        | 0.1   | 200  | 3.3403          | 36.4934 | 30.1718 | 0.0097         | 0.0080      | 0.0074      |
+| 0.1836        | 0.2   | 400  | 3.3032          | 37.2255 | 32.0015 | 0.0097         | 0.0079      | 0.0072      |
+| 0.333         | 0.3   | 600  | 3.3810          | 38.5798 | 32.6363 | 0.0110         | 0.0084      | 0.0072      |
+| 0.1716        | 0.4   | 800  | 3.4782          | 39.2020 | 33.0769 | 0.0096         | 0.0081      | 0.0069      |
+| 0.1919        | 0.5   | 1000 | 3.4548          | 39.1654 | 33.6146 | 0.0097         | 0.0079      | 0.0071      |
+| 0.2053        | 0.6   | 1200 | 3.4784          | 39.6413 | 33.5848 | 0.0101         | 0.0084      | 0.0072      |
+| 0.126         | 0.7   | 1400 | 3.5044          | 40.3734 | 34.0553 | 0.0100         | 0.0083      | 0.0073      |
+| 0.331         | 0.8   | 1600 | 3.4866          | 40.0439 | 34.0777 | 0.0100         | 0.0084      | 0.0072      |
+| 0.1882        | 0.9   | 1800 | 3.4982          | 40.0805 | 34.1001 | 0.0100         | 0.0079      | 0.0075      |
+| 0.1013        | 1.0   | 2000 | 3.4985          | 40.4100 | 34.3391 | 0.0102         | 0.0078      | 0.0077      |
+
+
 ### Framework versions
 
 - PEFT 0.17.0

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