End of training

README.md

@@ -1,22 +1,25 @@
 ---
 library_name: transformers
+language:
+- ml
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_11_0
+- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: openai/whisper-small
+- name: whisper-small-ml
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
-      type: common_voice_11_0
+      name: mozilla-foundation/common_voice_11_0 ml
+      type: mozilla-foundation/common_voice_11_0
       config: ml
       split: test
       args: ml
@@ -29,9 +32,9 @@ 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. -->
 
-# openai/whisper-small
+# whisper-small-ml
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 ml dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5906
 - Wer: 38.8889

all_results.json

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eval_results.json

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runs/Mar19_11-38-24_siva-notebook-vm-gpu/events.out.tfevents.1742387251.siva-notebook-vm-gpu.208749.1

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+size 406

train_results.json

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