Update README.md

README.md

@@ -3,19 +3,57 @@ license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-300m
 tags:
 - generated_from_trainer
-metrics:
-- wer
+datasets:
+- thennal/IMaSC
+- vrclc/openslr63
+- thennal/indic_tts_ml
 model-index:
-- name: XLSR-LM-NewData
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+- name: XLSR-WithLM-Malayalam
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: OpenSLR Malayalam -Test
+      type: vrclc/openslr63
+      config: ml
+      split: test
+      args: ml
+    metrics:
+    - type: wer
+      value: 27.3
+      name: WER
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Goole Fleurs
+      type: google/fleurs
+      config: ml
+      split: test
+      args: ml
+    metrics:
+    - type: wer
+      value: 37.2
+      name: WER
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: MSC
+      type: smcproject/msc
+      config: ml
+      split: train
+      args: ml
+    metrics:
+    - type: wer
+      value: 52.9
+      name: WER
 
+---
 # XLSR-LM-NewData
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the [IMASC](https://huggingface.co/datasets/thennal/IMaSC), [MSC](https://huggingface.co/datasets/smcproject/MSC), [OpenSLR Malayalam Train split](https://huggingface.co/datasets/vrclc/openslr63) datasets.
 It achieves the following results on the evaluation set:
 - Loss: 0.1395
 - Wer: 0.2952