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: 35.273569773658885
 ---
 
 <!-- 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: 0.8123
-- eval_wer: 37.5798
-- eval_runtime: 604.2529
-- eval_samples_per_second: 4.998
-- eval_steps_per_second: 0.626
-- epoch: 11.2360
-- step: 1000
+- Loss: 0.7292
+- Wer: 35.2736
 
 ## Model description
 
@@ -42,16 +50,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 2e-05
 - 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: 1000
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.6776        | 1.1236 | 100  | 0.8509          | 44.5482 |
+| 0.107         | 2.2472 | 200  | 0.7355          | 39.2800 |
+| 0.0261        | 3.3708 | 300  | 0.7068          | 36.7742 |
+| 0.0108        | 4.4944 | 400  | 0.7252          | 35.9080 |
+| 0.0033        | 5.6180 | 500  | 0.7246          | 35.1239 |
+| 0.002         | 6.7416 | 600  | 0.7292          | 35.2736 |
+
+
 ### Framework versions
 
 - Transformers 4.40.1

runs/Jun05_19-01-05_a100gpu2/events.out.tfevents.1717606935.a100gpu2.529607.0

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