End of training

README.md

@@ -5,22 +5,9 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_6_1
-metrics:
-- wer
 model-index:
 - name: Whisper Small Frisian 10m
-  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: 60.82338264124042
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +17,13 @@ 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:
-- Loss: 1.6083
-- Wer: 60.8234
+- eval_loss: 3.8609
+- eval_wer: 84.5482
+- eval_runtime: 569.6835
+- eval_samples_per_second: 5.301
+- eval_steps_per_second: 0.664
+- epoch: 20.0
+- step: 300
 
 ## Model description
 
@@ -50,28 +42,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-06
+- learning_rate: 3e-08
 - 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: 600
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:-------:|
-| 0.8626        | 6.6667  | 100  | 1.6526          | 70.6755 |
-| 0.0473        | 13.3333 | 200  | 1.5418          | 62.1244 |
-| 0.0054        | 20.0    | 300  | 1.5761          | 61.4971 |
-| 0.0031        | 26.6667 | 400  | 1.5958          | 61.0872 |
-| 0.0024        | 33.3333 | 500  | 1.6048          | 60.8198 |
-| 0.0021        | 40.0    | 600  | 1.6083          | 60.8234 |
-
-
 ### Framework versions
 
 - Transformers 4.40.1

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