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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-yoruba_naijavoices_250h
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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
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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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- naijavoices_yoruba_250h
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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-yoruba_naijavoices_250h
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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 NAIJAVOICES_YORUBA_250H - NA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4563
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- Wer: 0.4444
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- Cer: 0.2656
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## Model description
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all_results.json
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{
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"epoch": 37.22721437740693,
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"eval_cer": 0.2655913452124535,
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"eval_loss": 0.45630529522895813,
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"eval_runtime": 14.6275,
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"eval_samples": 983,
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"eval_samples_per_second": 67.202,
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"eval_steps_per_second": 0.479,
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"eval_wer": 0.4443934877321715,
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"total_flos": 9.916619460929043e+20,
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"train_loss": 0.5429986819732806,
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"train_runtime": 120211.6675,
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"train_samples": 249211,
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"train_samples_per_second": 207.31,
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"train_steps_per_second": 0.648
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}
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eval_results.json
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{
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"epoch": 37.22721437740693,
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"eval_cer": 0.2655913452124535,
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"eval_loss": 0.45630529522895813,
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"eval_runtime": 14.6275,
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"eval_samples": 983,
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"eval_samples_per_second": 67.202,
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"eval_steps_per_second": 0.479,
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"eval_wer": 0.4443934877321715
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}
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runs/Jul17_01-18-57_gf-asr-training-1a100-3/events.out.tfevents.1752841466.gf-asr-training-1a100-3.87727.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:991a647908d6274e5f7234a36a90e28fb267c9e602db206af988857a60780184
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size 460
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train_results.json
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{
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"epoch": 37.22721437740693,
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"total_flos": 9.916619460929043e+20,
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"train_loss": 0.5429986819732806,
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"train_runtime": 120211.6675,
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"train_samples": 249211,
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"train_samples_per_second": 207.31,
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"train_steps_per_second": 0.648
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}
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trainer_state.json
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