End of training
Browse files- README.md +6 -3
- adapter.bem.safetensors +3 -0
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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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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model-index:
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- name: mms-1b-all-bemgen-combined-m50f50-62-DAT-0.04-fusion
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@@ -14,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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# mms-1b-all-bemgen-combined-m50f50-62-DAT-0.04-fusion
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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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- Cer: 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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- bemgen
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- mms
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- generated_from_trainer
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model-index:
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- name: mms-1b-all-bemgen-combined-m50f50-62-DAT-0.04-fusion
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# mms-1b-all-bemgen-combined-m50f50-62-DAT-0.04-fusion
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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 BEMGEN - BEM dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2702
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- Cer: 0.0771
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## Model description
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adapter.bem.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5aa9199afa131484f4741ad3abd6a303e64f2111641a82f3d9a2e6f0bac2a26a
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size 8803656
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all_results.json
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{
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"epoch": 17.649789029535864,
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"eval_cer": 0.0770908812573353,
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"eval_loss": 0.27023208141326904,
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"eval_runtime": 49.3447,
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"eval_samples": 1047,
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"eval_samples_per_second": 21.218,
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"eval_steps_per_second": 5.31,
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"total_flos": 2.6109089062899515e+19,
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"train_loss": 1.4677768234979538,
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"train_runtime": 3249.184,
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"train_samples": 1895,
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"train_samples_per_second": 17.497,
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"train_steps_per_second": 1.099
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}
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eval_results.json
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{
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"epoch": 17.649789029535864,
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"eval_cer": 0.0770908812573353,
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"eval_loss": 0.27023208141326904,
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"eval_runtime": 49.3447,
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"eval_samples": 1047,
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"eval_samples_per_second": 21.218,
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"eval_steps_per_second": 5.31
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}
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train_results.json
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{
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"epoch": 17.649789029535864,
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"total_flos": 2.6109089062899515e+19,
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"train_loss": 1.4677768234979538,
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"train_runtime": 3249.184,
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"train_samples": 1895,
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"train_samples_per_second": 17.497,
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"train_steps_per_second": 1.099
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}
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trainer_state.json
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