End of training
Browse files- README.md +6 -3
- adapter.bem.safetensors +3 -0
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Feb09_10-57-50_srvrocgpu011.uct.ac.za/events.out.tfevents.1739097140.srvrocgpu011.uct.ac.za +3 -0
- train_results.json +9 -0
- trainer_state.json +627 -0
README.md
CHANGED
@@ -3,6 +3,9 @@ library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- generated_from_trainer
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metrics:
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- wer
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@@ -16,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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# mms-1b-bigcgen-baseline-model
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-
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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## Model description
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license: cc-by-nc-4.0
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base_model: facebook/mms-1b-all
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tags:
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- automatic-speech-recognition
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- bigcgen
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- mms
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- generated_from_trainer
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metrics:
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- wer
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# mms-1b-bigcgen-baseline-model
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+
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the BIGCGEN - BEM dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5089
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- Wer: 0.4580
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## Model description
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adapter.bem.safetensors
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oid sha256:84acbeac47beef7a996135af07853f6dfc92b10798b8de2a43222d56aa67fb63
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all_results.json
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"eval_wer": 0.45802790257744147,
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eval_results.json
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runs/Feb09_10-57-50_srvrocgpu011.uct.ac.za/events.out.tfevents.1739097140.srvrocgpu011.uct.ac.za
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version https://git-lfs.github.com/spec/v1
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oid sha256:0319773aeae5d8969754e8019374f86b3c2653b50d4c8c7def076ca29f5df4b6
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size 40
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train_results.json
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trainer_state.json
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