End of training

README.md

@@ -6,11 +6,24 @@ language:
 - en
 library_name: peft
 license: apache-2.0
+metrics:
+- wer
 tags:
 - generated_from_trainer
 model-index:
 - name: Whisper-Small-Inbrowser-Proctor-LORA
-  results: []
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Inbrowser Procotor Dataset
+      type: lord-reso/inbrowser-proctor-dataset
+      args: 'config: en, split: test'
+    metrics:
+    - type: wer
+      value: 18.158649251353935
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,13 +33,8 @@ 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 Inbrowser Procotor Dataset dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.3714
-- eval_wer: 20.6913
-- eval_runtime: 58.8679
-- eval_samples_per_second: 1.189
-- eval_steps_per_second: 0.153
-- epoch: 9.8214
-- step: 275
+- Loss: 0.3646
+- Wer: 18.1586
 
 ## Model description
 
@@ -52,9 +60,25 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 250
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.7817        | 0.8929 | 25   | 0.7456          | 31.6502 |
+| 0.3905        | 1.7857 | 50   | 0.4646          | 29.4043 |
+| 0.2194        | 2.6786 | 75   | 0.3988          | 20.3090 |
+| 0.1697        | 3.5714 | 100  | 0.3776          | 16.1357 |
+| 0.1246        | 4.4643 | 125  | 0.3744          | 18.7639 |
+| 0.1062        | 5.3571 | 150  | 0.3698          | 19.9267 |
+| 0.0862        | 6.25   | 175  | 0.3698          | 19.9108 |
+| 0.0701        | 7.1429 | 200  | 0.3651          | 18.0153 |
+| 0.0647        | 8.0357 | 225  | 0.3659          | 18.4613 |
+| 0.056         | 8.9286 | 250  | 0.3646          | 18.1586 |
+
+
 ### Framework versions
 
 - PEFT 0.12.1.dev0

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