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Add Training and Evaluation Data

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  1. README.md +10 -1
README.md CHANGED
@@ -6,6 +6,15 @@ metrics:
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  model-index:
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  - name: w2v-bert-2.0-nonstudio_and_studioRecords
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  results: []
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +24,7 @@ should probably proofread and complete it, then remove this comment. -->
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  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) .
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- It achieves the following results on the evaluation set:
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  - Loss: 0.1722
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  - Wer: 0.1299
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  model-index:
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  - name: w2v-bert-2.0-nonstudio_and_studioRecords
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  results: []
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+ datasets:
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+ - vrclc/festvox-iiith-ml
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+ - vrclc/openslr63
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+ - vrclc/imasc_slr
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+ - mozilla-foundation/common_voice_17_0
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+ - smcproject/MSC
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+ language:
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+ - ml
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+ pipeline_tag: automatic-speech-recognition
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  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) .
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+ It achieves the following results on the validation set : [OpenSLR-Test](https://huggingface.co/vrclc/openslr63):
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  - Loss: 0.1722
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  - Wer: 0.1299
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