End of training

README.md

@@ -8,9 +8,24 @@ tags:
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: Whisper Medium Uzbek
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: uz
+      split: None
+      args: 'config: uz, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 38.19985168705969
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Medium Uzbek
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4148
+- Wer: 38.1999
 
 ## Model description
 
@@ -37,20 +55,25 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 3e-05
+- train_batch_size: 64
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- training_steps: 200
-- mixed_precision_training: Native AMP
+- lr_scheduler_warmup_steps: 200
+- training_steps: 1500
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.6553        | 0.5330 | 250  | 0.5830          | 51.2637 |
+| 0.3945        | 1.0661 | 500  | 0.4612          | 41.6914 |
+| 0.3352        | 1.5991 | 750  | 0.4360          | 42.0931 |
+| 0.2028        | 2.1322 | 1000 | 0.4155          | 38.1133 |
+| 0.1956        | 2.6652 | 1250 | 0.4081          | 37.6900 |
+| 0.1202        | 3.1983 | 1500 | 0.4148          | 38.1999 |
 
 
 ### Framework versions