Model save

README.md

@@ -1,24 +1,21 @@
 ---
-language:
-- ml
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_0
+- common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: Breeze DSW Malayalam - small
+- name: breeze-listen-dsw-small-ml
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_16_0 ml
-      type: mozilla-foundation/common_voice_16_0
+      name: common_voice_16_0
+      type: common_voice_16_0
       config: ml
       split: test
       args: ml
@@ -31,9 +28,9 @@ 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. -->
 
-# Breeze DSW Malayalam - small
+# breeze-listen-dsw-small-ml
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_16_0 ml dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_16_0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3826
 - Wer: 33.9203

runs/Jan19_16-56-08_knight/events.out.tfevents.1705679861.knight.4736.0

@@ -0,0 +1,3 @@
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+size 5897

training_args.bin

@@ -1,3 +1,3 @@
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