Update README.md

README.md

@@ -5,9 +5,8 @@ datasets:
 - thennal/IMaSC
 - vrclc/festvox-iiith-ml
 - vrclc/openslr63
-- thennal/msc
+- smcproject/msc
 - mozilla-foundation/common_voice_16_1
-
 metrics:
 - wer
 tags:
@@ -57,12 +56,10 @@ model-index:
 
 ---
 
-<!-- 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. -->
 
 # w2v-bert-2.0-nonstudio_and_studioRecords
 
-This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an these datasets: [IMASC](https://huggingface.co/datasets/thennal/IMaSC), [MSC](https://huggingface.co/datasets/smcproject/MSC), [OpenSLR Malayalam Train split](https://huggingface.co/datasets/vrclc/openslr63), [Festvox Malayalam](https://huggingface.co/datasets/vrclc/openslr63), [common_voice_16_1](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1) 
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an these datasets: [IMASC](https://huggingface.co/datasets/thennal/IMaSC), [MSC](https://huggingface.co/datasets/smcproject/MSC), [OpenSLR Malayalam Train split](https://huggingface.co/datasets/vrclc/openslr63), [Festvox Malayalam](https://huggingface.co/datasets/vrclc/festvox-iiith-ml), [common_voice_16_1](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_1) 
 It achieves the following results on the evaluation set:
 - Loss: 0.1722
 - Wer: 0.1299