Instructions to use qmeeus/la-whisper-small-covost2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qmeeus/la-whisper-small-covost2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="qmeeus/la-whisper-small-covost2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("qmeeus/la-whisper-small-covost2") model = AutoModelForSpeechSeq2Seq.from_pretrained("qmeeus/la-whisper-small-covost2") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
all_results.json
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{
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"epoch": 4.5,
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"eval_loss": 2.1667492389678955,
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"eval_runtime": 6455.0764,
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"eval_sacrebleu": 118.26401526639184,
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"eval_samples_per_second": 0.526,
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"eval_steps_per_second": 0.263,
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"eval_wer": 686.689662169017,
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"train_loss": 0.524174674898386,
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"train_runtime": 70623.6184,
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"train_samples_per_second": 0.906,
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"train_steps_per_second": 0.028
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}
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eval_results.json
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{
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"epoch": 4.5,
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"eval_loss": 2.1667492389678955,
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"eval_runtime": 6455.0764,
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"eval_sacrebleu": 118.26401526639184,
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"eval_samples_per_second": 0.526,
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| 7 |
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"eval_steps_per_second": 0.263,
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"eval_wer": 686.689662169017
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}
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runs/Apr07_09-53-36_fasso.esat.kuleuven.be/events.out.tfevents.1680931239.fasso.esat.kuleuven.be.754703.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:57b7a54184c3f648a3365a832622dcfe80947071e8c6b0f930bb1103ad4bfa69
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size 459
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train_results.json
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{
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"epoch": 4.5,
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"train_loss": 0.524174674898386,
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"train_runtime": 70623.6184,
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"train_samples_per_second": 0.906,
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"train_steps_per_second": 0.028
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}
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trainer_state.json
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