Update README.md

README.md

@@ -1,21 +1,20 @@
----
-base_model: facebook/w2v-bert-2.0
-license: mit
-metrics:
-- wer
-tags:
-- generated_from_trainer
-model-index:
-- name: w2v-bert-2.0-nonstudio_and_studioRecords
-  results: []
----
+---
+base_model: facebook/w2v-bert-2.0
+license: mit
+metrics:
+- wer
+model-index:
+- name: w2v-bert-2.0-nonstudio_and_studioRecords
+  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. -->
 
 # 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 unknown dataset.
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) 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), [Festvox Malayalam](https://huggingface.co/datasets/vrclc/openslr63), [CV16](https://huggingface.co/datasets/mozilla-foundation/common_voice_16_0)  .
+
 It achieves the following results on the evaluation set:
 - Loss: 0.1722
 - Wer: 0.1299
@@ -81,4 +80,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.3
 - Pytorch 2.1.1+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1