End of training

README.md

@@ -3,6 +3,9 @@ library_name: transformers
 license: cc-by-nc-4.0
 base_model: mms-meta/mms-zeroshot-300m
 tags:
+- automatic-speech-recognition
+- BembaSpeech
+- mms
 - generated_from_trainer
 metrics:
 - wer
@@ -16,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mms-zeroshot-300m-bembaspeech-model
 
-This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co/mms-meta/mms-zeroshot-300m) on an unknown dataset.
+This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co/mms-meta/mms-zeroshot-300m) on the BEMBASPEECH - BEM dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2050
-- Wer: 0.3964
+- Loss: 0.2038
+- Wer: 0.4007
 
 ## Model description
 

adapter.bem.safetensors

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+size 3586804

all_results.json

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eval_results.json

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train_results.json

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trainer_state.json

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