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README.md
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base_model: openai/whisper-large-v3
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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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model-index:
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- name: whisper-large-v3-pt-1000h
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-large-v3-pt-1000h
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) 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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## Model description
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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datasets:
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- fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-pt-1000h
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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default
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type: fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba
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args: default
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metrics:
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- name: Wer
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type: wer
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value: 0.11132023872721715
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-large-v3-pt-1000h
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the fsicoli/cv17-fleurs-coraa-mls-ted-alcaim-cf-cdc-lapsbm-lapsmail-sydney-lingualibre-voxforge-tatoeba default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5576
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- Wer: 0.1113
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## Model description
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all_results.json
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{
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"epoch": 3.22,
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"eval_loss": 0.5576171875,
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"eval_runtime": 11516.2104,
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"eval_samples": 9467,
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"eval_samples_per_second": 0.822,
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"eval_steps_per_second": 0.051,
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"eval_wer": 0.11132023872721715,
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"train_loss": 0.0028538422119326707,
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"train_runtime": 23952.0519,
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"train_samples": 813653,
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"train_samples_per_second": 109.552,
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"train_steps_per_second": 3.424
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}
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eval_results.json
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{
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"epoch": 3.22,
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"eval_loss": 0.5576171875,
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"eval_runtime": 11516.2104,
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"eval_samples": 9467,
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"eval_samples_per_second": 0.822,
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"eval_steps_per_second": 0.051,
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"eval_wer": 0.11132023872721715
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}
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runs/Apr11_13-47-41_gpu-model-training/events.out.tfevents.1712989329.gpu-model-training.59563.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:63eb95a857a8378c8010e800a2e6071f716d3173dc14490310b2742e44c5afd1
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size 364
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train_results.json
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{
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"epoch": 3.22,
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"train_loss": 0.0028538422119326707,
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"train_runtime": 23952.0519,
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"train_samples": 813653,
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"train_samples_per_second": 109.552,
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"train_steps_per_second": 3.424
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}
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trainer_state.json
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