Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use NbAiLab/whisper-tiny-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/whisper-tiny-nob with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-tiny-nob")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-tiny-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-tiny-nob") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
all_results.json
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{
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"epoch": 4.01,
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"eval_loss": 0.5099794864654541,
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"eval_runtime": 37.0125,
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"eval_samples_per_second": 4.35,
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"eval_steps_per_second": 0.081,
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"eval_wer": 24.878197320341048,
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"train_loss": 0.2913371723175049,
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"train_runtime": 623384.3788,
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"train_samples_per_second": 41.066,
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"train_steps_per_second": 0.16
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}
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eval_results.json
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{
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"epoch": 4.01,
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"eval_loss": 0.5099794864654541,
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"eval_runtime": 37.0125,
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"eval_samples_per_second": 4.35,
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"eval_steps_per_second": 0.081,
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"eval_wer": 24.878197320341048
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}
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runs/Dec30_05-50-47_ficino/events.out.tfevents.1673000449.ficino.2745717.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d8b041e89e49e42b0208b6928a9f6a53d941ab806a12153b67b0b5592bf18ae
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size 364
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train_results.json
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{
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"epoch": 4.01,
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"train_loss": 0.2913371723175049,
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"train_runtime": 623384.3788,
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"train_samples_per_second": 41.066,
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"train_steps_per_second": 0.16
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}
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trainer_state.json
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