End of training

README.md

@@ -2,11 +2,12 @@
 language:
 - ceb
 license: apache-2.0
-base_model: openai/whisper-medium
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- google/fleurs
+- nlewins/ceb-sentences-with-audio
+- nlewins/standard_dataset_nonsynthetic
 model-index:
 - name: Whisper finetuned for ceb
   results: []
@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper finetuned for ceb
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Fleurs Ceb subset dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Fleurs Ceb subset, LSK nonsynthetic, Onetalk Q&A, and Ceb sentences dataset dataset.
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39c1a2da34da24abe0f5322e0ecf9677cd0935c396b8e1504c4f966c0019c886
+oid sha256:0c380e543abba9aefbfabe9a75f62cc02fa1231db472453a1b556118cfd8439c
 size 966995080

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:53916348287ebaf67d8e2e8170c42f855d9c50d5ea72b4d1057d60c0e49e0a52
+oid sha256:959589388e3006980226488a52f4babe82614998365187ea6b07d827d8dd8d06
 size 4792