End of training
Browse files- README.md +5 -2
- adapter.bem.safetensors +3 -0
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +499 -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-bemgen-female-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: 0.1921
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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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- bemgen
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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-bemgen-female-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 BEMGEN - BEM dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1921
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+
- Wer: 0.3440
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## Model description
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adapter.bem.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:24ba3bd1bac48734803e9d8774469e7d7bd277384888d42df4db7b1153dfa5b2
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size 8798532
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all_results.json
ADDED
@@ -0,0 +1,15 @@
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{
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"eval_loss": 0.19208292663097382,
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"eval_steps_per_second": 4.052,
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"eval_wer": 0.3439911797133407,
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"total_flos": 6.630103716413751e+18,
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"train_loss": 0.5161716863087246,
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"train_runtime": 2738.809,
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"train_samples": 3890,
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"train_samples_per_second": 42.61,
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"train_steps_per_second": 10.658
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}
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eval_results.json
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"eval_steps_per_second": 4.052,
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"eval_wer": 0.3439911797133407
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}
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train_results.json
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{
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"total_flos": 6.630103716413751e+18,
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"train_steps_per_second": 10.658
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}
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trainer_state.json
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