update model card README.md

README.md

@@ -1,27 +1,11 @@
 ---
-license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
-metrics:
-- wer
 model-index:
 - name: wav2vec2-large-xls-r-300m-hindi-colab-ysv
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice_13_0
-      type: common_voice_13_0
-      config: hi
-      split: test
-      args: hi
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.8740320510166052
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-hindi-colab-ysv
 
-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_13_0 dataset.
+This model was trained from scratch on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6224
-- Wer: 0.8740
+- eval_loss: 1.1359
+- eval_wer: 0.5396
+- eval_runtime: 278.3234
+- eval_samples_per_second: 10.588
+- eval_steps_per_second: 1.326
+- epoch: 18.21
+- step: 6800
 
 ## Model description
 
@@ -52,22 +41,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 16
+- train_batch_size: 6
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 32
+- total_train_batch_size: 12
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 4
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 5.7147        | 2.86  | 400  | 1.6224          | 0.8740 |
-
+- num_epochs: 30
 
 ### Framework versions