update model card README.md

README.md

@@ -3,21 +3,9 @@ tags:
 - generated_from_trainer
 datasets:
 - evanarlian/common_voice_11_0_id_filtered
-metrics:
-- wer
 model-index:
 - name: wav2vec2-xls-r-113m-id
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: evanarlian/common_voice_11_0_id_filtered
-      type: evanarlian/common_voice_11_0_id_filtered
-    metrics:
-    - name: Wer
-      type: wer
-      value: 1.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-xls-r-113m-id
 
 This model is a fine-tuned version of [evanarlian/distil-wav2vec2-xls-r-113m-id](https://huggingface.co/evanarlian/distil-wav2vec2-xls-r-113m-id) on the evanarlian/common_voice_11_0_id_filtered dataset.
-It achieves the following results on the evaluation set:
-- Loss: 18.6052
-- Wer: 1.0
 
 ## Model description
 
@@ -47,23 +32,20 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 10
-- eval_batch_size: 10
+- learning_rate: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.3
-- num_epochs: 2.0
+- num_epochs: 5.0
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| No log        | 0.6   | 6    | 22.7124         | 1.0 |
-| No log        | 1.2   | 12   | 20.1775         | 1.0 |
-| No log        | 1.8   | 18   | 18.6052         | 1.0 |
 
 
 ### Framework versions