End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: wav2vec2-large-xlsr-53-demo-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: sah
+      split: test
+      args: sah
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.8174979851347721
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-large-xlsr-53-demo-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9038
+- Wer: 0.8175
 
 ## Model description
 
@@ -41,12 +59,20 @@ The following hyperparameters were used during training:
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
-- lr_scheduler_warmup_steps: 500
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
 - num_epochs: 20
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.0574        | 3.33  | 50   | 2.9873          | 1.0    |
+| 2.8631        | 6.67  | 100  | 2.7208          | 1.0    |
+| 2.0621        | 10.0  | 150  | 1.3181          | 1.0321 |
+| 1.0109        | 13.33 | 200  | 0.9915          | 0.8863 |
+| 0.6483        | 16.67 | 250  | 0.9177          | 0.8362 |
+| 0.5217        | 20.0  | 300  | 0.9038          | 0.8175 |
 
 
 ### Framework versions