End of training

README.md

@@ -5,9 +5,22 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_6_1
+metrics:
+- wer
 model-index:
 - name: Whisper Small Frisian 1h
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 6.1
+      type: mozilla-foundation/common_voice_6_1
+      args: 'config: frisian, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 47.79183746212796
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,13 +30,8 @@ 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 Common Voice 6.1 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.9050
-- eval_wer: 43.8389
-- eval_runtime: 596.14
-- eval_samples_per_second: 5.066
-- eval_steps_per_second: 0.634
-- epoch: 7.8652
-- step: 700
+- Loss: 0.9900
+- Wer: 47.7918
 
 ## Model description
 
@@ -42,16 +50,42 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-06
+- learning_rate: 1e-06
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- training_steps: 1500
+- training_steps: 2000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:-------:|
+| 2.4073        | 1.1236  | 100  | 2.2555          | 82.9549 |
+| 1.5143        | 2.2472  | 200  | 1.6651          | 73.4557 |
+| 1.1865        | 3.3708  | 300  | 1.4237          | 65.1256 |
+| 0.9368        | 4.4944  | 400  | 1.2874          | 59.4832 |
+| 0.8009        | 5.6180  | 500  | 1.1957          | 56.5461 |
+| 0.6722        | 6.7416  | 600  | 1.1345          | 54.6890 |
+| 0.5726        | 7.8652  | 700  | 1.0894          | 53.1919 |
+| 0.5068        | 8.9888  | 800  | 1.0575          | 51.7769 |
+| 0.4239        | 10.1124 | 900  | 1.0351          | 50.8002 |
+| 0.3799        | 11.2360 | 1000 | 1.0197          | 49.9198 |
+| 0.295         | 12.3596 | 1100 | 1.0110          | 49.3673 |
+| 0.2852        | 13.4831 | 1200 | 1.0022          | 48.7507 |
+| 0.2478        | 14.6067 | 1300 | 0.9965          | 48.3800 |
+| 0.2267        | 15.7303 | 1400 | 0.9931          | 48.1911 |
+| 0.1986        | 16.8539 | 1500 | 0.9916          | 48.1412 |
+| 0.1922        | 17.9775 | 1600 | 0.9907          | 47.9558 |
+| 0.1724        | 19.1011 | 1700 | 0.9905          | 47.8703 |
+| 0.1709        | 20.2247 | 1800 | 0.9900          | 47.9059 |
+| 0.1749        | 21.3483 | 1900 | 0.9900          | 47.7598 |
+| 0.145         | 22.4719 | 2000 | 0.9900          | 47.7918 |
+
+
 ### Framework versions
 
 - Transformers 4.40.1