End of training

README.md

@@ -11,8 +11,8 @@ model-index:
 - name: wav2vec2-large-xls-r-300m-amharic-demo-colab
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_16_1
       type: common_voice_16_1
@@ -20,21 +20,21 @@ model-index:
       split: test
       args: am
     metrics:
-    - type: wer
-      value: 1.0006671114076051
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.9159439626417611
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mechal-timotewos-budapest-university-of-technology-and-e/huggingface/runs/nrphjnei)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mechal-timotewos-budapest-university-of-technology-and-e/huggingface/runs/1shn3s8w)
 # wav2vec2-large-xls-r-300m-amharic-demo-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9728
-- Wer: 1.0007
+- Loss: 2.0166
+- Wer: 0.9159
 
 ## Model description
 
@@ -62,17 +62,29 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- num_epochs: 20
+- num_epochs: 80
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 12.5906       | 5.0   | 100  | 4.1542          | 1.0    |
-| 4.1313        | 10.0  | 200  | 4.0748          | 1.0    |
-| 4.025         | 15.0  | 300  | 3.9942          | 1.0    |
-| 3.9704        | 20.0  | 400  | 3.9728          | 1.0007 |
+| 12.6278       | 5.0   | 100  | 4.1583          | 1.0    |
+| 4.0971        | 10.0  | 200  | 4.0317          | 1.0    |
+| 3.9986        | 15.0  | 300  | 3.9758          | 1.0    |
+| 3.7669        | 20.0  | 400  | 3.2290          | 1.0287 |
+| 1.6097        | 25.0  | 500  | 1.8216          | 0.9860 |
+| 0.5931        | 30.0  | 600  | 1.7982          | 0.9780 |
+| 0.3501        | 35.0  | 700  | 1.9234          | 0.9867 |
+| 0.2629        | 40.0  | 800  | 1.9051          | 0.9206 |
+| 0.2055        | 45.0  | 900  | 1.9681          | 0.9246 |
+| 0.1844        | 50.0  | 1000 | 2.0111          | 0.9393 |
+| 0.1625        | 55.0  | 1100 | 2.0117          | 0.9286 |
+| 0.1486        | 60.0  | 1200 | 2.0144          | 0.9326 |
+| 0.1348        | 65.0  | 1300 | 2.0011          | 0.9373 |
+| 0.1183        | 70.0  | 1400 | 2.0303          | 0.9053 |
+| 0.1095        | 75.0  | 1500 | 2.0183          | 0.9239 |
+| 0.1064        | 80.0  | 1600 | 2.0166          | 0.9159 |
 
 
 ### Framework versions