End of training

README.md

@@ -8,9 +8,24 @@ tags:
 - generated_from_trainer
 datasets:
 - iulik-pisik/audio_vreme
+metrics:
+- wer
 model-index:
 - name: Whisper Tiny Romanian - Vreme
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Vreme ProTv
+      type: iulik-pisik/audio_vreme
+      config: default
+      split: None
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.912864775996711
 ---
 
 <!-- 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 Tiny Romanian - Vreme
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Vreme ProTv dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2668
+- Wer: 13.9129
 
 ## Model description
 
@@ -47,6 +65,16 @@ The following hyperparameters were used during training:
 - training_steps: 4000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0494        | 6.02  | 1000 | 0.1717          | 14.1184 |
+| 0.0033        | 12.05 | 2000 | 0.2362          | 14.3855 |
+| 0.0011        | 18.07 | 3000 | 0.2596          | 13.9540 |
+| 0.0008        | 24.1  | 4000 | 0.2668          | 13.9129 |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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