Update README.md

README.md

@@ -33,11 +33,17 @@ 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 MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR and OPENSLR - SLR64 - MR datasets.
 It achieves the following results on the evaluation set:
 - Loss: 0.494580
 - Wer: 0.401524
 
+### Eval results on Common Voice 8 "test" (WER):
+
+| Without LM | With LM |
+|---|---|
+| 40.513437625350984 | 31.04693140794224 |
+
 ## Model description
 
 More information needed
@@ -107,16 +113,16 @@ The following hyperparameters were used during training:
  | 13600 | 	0.266300 | 	0.498627 | 	0.397513 | 
  | 14000 | 	0.259600 | 	0.504610 | 	0.401524 | 
 
+#### Evaluation Commands
+To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`
+
+```bash
+python eval.py --model_id smangrul/xls-r-mr-model --dataset mozilla-foundation/common_voice_8_0 --config mr --split test
+```
+
 ### Framework versions
 
 - Transformers 4.17.0.dev0
 - Pytorch 1.10.2+cu113
 - Datasets 1.18.3.dev0
 - Tokenizers 0.11.0
-
-
-### Eval results on Common Voice 8 "test" (WER):
-
-| Without LM | With LM |
-|---|---|
-| 40.513437625350984 | 31.04693140794224 |