Training in progress, step 250

README.md

@@ -1,19 +1,12 @@
 ---
-base_model: openai/whisper-small
 library_name: transformers
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 model-index:
 - name: whisper-small-sc
   results: []
-datasets:
-- janaab/supreme-court-speech
-language:
-- en
-metrics:
-- wer
-pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-sc
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on [janaab/supreme-court-speech](https://huggingface.co/janaab/supreme-court-speech).
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - eval_loss: 0.3354
 - eval_wer_ortho: 11.0780
@@ -66,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.44.2
 - Pytorch 2.4.0
 - Datasets 2.21.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

model.safetensors

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training_args.bin

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