update model card README.md

README.md

@@ -4,7 +4,6 @@ tags:
 - automatic-speech-recognition
 - openslr_SLR66
 - generated_from_trainer
-- robust-speech-event
 model-index:
 - name: ''
   results: []
@@ -17,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the OPENSLR_SLR66 - NA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2719
-- Wer: 0.3419
+- Loss: 0.2680
+- Wer: 0.3467
 
 ## Model description
 
@@ -38,15 +37,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 7.5e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2000
-- num_epochs: 100.0
+- num_epochs: 10.0
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -78,6 +77,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.16.0.dev0
-- Pytorch 1.10.0+cu113
-- Datasets 1.18.1.dev0
-- Tokenizers 0.10.3
+- Pytorch 1.10.1+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.11.0