End of training
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README.md
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license: mit
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base_model: facebook/w2v-bert-2.0
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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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# w2v-bert-2.0-luo_cv_fleurs_19h-v3
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) 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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- Cer: 0.
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## Model description
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license: mit
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base_model: facebook/w2v-bert-2.0
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tags:
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- automatic-speech-recognition
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- CLEAR-Global/luo_19h
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- generated_from_trainer
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metrics:
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- wer
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# w2v-bert-2.0-luo_cv_fleurs_19h-v3
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This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the CLEAR-GLOBAL/LUO_19H - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2850
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- Wer: 0.3100
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- Cer: 0.0950
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## Model description
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all_results.json
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{
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"epoch": 58.44155844155844,
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"eval_cer": 0.09501244879929323,
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"eval_loss": 0.28501734137535095,
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"eval_runtime": 9.0702,
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"eval_samples": 101,
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"eval_samples_per_second": 11.135,
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"eval_steps_per_second": 0.441,
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"eval_wer": 0.3099647266313933,
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"total_flos": 1.2252419622219763e+20,
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"train_loss": 0.5878761944652457,
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"train_runtime": 19643.9285,
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"train_samples": 9856,
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"train_samples_per_second": 325.8,
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"train_steps_per_second": 5.091
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}
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eval_results.json
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{
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"epoch": 58.44155844155844,
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"eval_cer": 0.09501244879929323,
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"eval_loss": 0.28501734137535095,
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"eval_runtime": 9.0702,
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"eval_samples": 101,
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"eval_samples_per_second": 11.135,
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"eval_steps_per_second": 0.441,
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"eval_wer": 0.3099647266313933
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}
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runs/Apr12_14-19-56_synvoices-single-a100/events.out.tfevents.1744487975.synvoices-single-a100.86658.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a79201ba7bfccb8ab63d87ba3383e0477616cd1112c68b7d9e96db47c6ea5ae
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size 453
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train_results.json
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{
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"epoch": 58.44155844155844,
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"total_flos": 1.2252419622219763e+20,
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"train_loss": 0.5878761944652457,
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"train_runtime": 19643.9285,
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"train_samples": 9856,
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"train_samples_per_second": 325.8,
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"train_steps_per_second": 5.091
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}
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trainer_state.json
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