Update README.md

README.md

@@ -13,7 +13,7 @@ metrics:
 tags:
 - generated_from_trainer
 model-index:
-- name: w2v-bert-2.0-nonstudio_and_studioRecords
+- name: w2v2bert-Malayalam
   results:
   - task:
       type: automatic-speech-recognition
@@ -62,25 +62,16 @@ 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.[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/openslr63), [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
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
 
 ## Training procedure
 
+Trained on NVIDIA A100 GPU
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: