update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - audiofolder
+metrics:
+- wer
 model-index:
 - name: wav2vec2-xlsr-53-espeak-cv-ft-bak-ntsema-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: audiofolder
+      type: audiofolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0547550432276658
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-xlsr-53-espeak-cv-ft-bak-ntsema-colab
 
 This model is a fine-tuned version of [facebook/wav2vec2-xlsr-53-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-xlsr-53-espeak-cv-ft) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 1.0548
 
 ## Model description
 
@@ -34,10 +52,10 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 16
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
+- gradient_accumulation_steps: 8
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,6 +65,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.5109        | 8.33  | 400  | inf             | 1.0807 |
+| 0.4252        | 16.66 | 800  | inf             | 1.0519 |
+| 0.1744        | 24.99 | 1200 | inf             | 1.0548 |
 
 
 ### Framework versions