Update README.md

README.md

@@ -8,6 +8,8 @@ datasets:
 model-index:
 - name: wav2vec2-xls-r-300m-fleurs-mk
   results: []
+language:
+- mk
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,15 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xls-r-300m-fleurs-mk
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the fleurs dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) for the Macedonian language using the train and validation splits of the FLEURS dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1416
-- eval_wer: 0.1565
-- eval_runtime: 214.3232
-- eval_samples_per_second: 4.54
-- eval_steps_per_second: 0.569
-- epoch: 9.3
-- step: 1600
+- Loss: 0.1416
+- WER: 0.1565
 
 ## Model description
 
@@ -51,7 +48,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 20
+- num_epochs: 9.3
 - mixed_precision_training: Native AMP
 
 ### Framework versions
@@ -59,4 +56,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1