End of training
Browse files- README.md +7 -7
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Aug28_14-18-51_DITEC2014063010/events.out.tfevents.1725558105.DITEC2014063010.87064.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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@@ -5,7 +5,7 @@ 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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- common_voice_18_0
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metrics:
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- wer
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model-index:
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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: common_voice_18_0
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type: common_voice_18_0
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config: pt
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split: None
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args: pt
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metrics:
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- name: Wer
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type: wer
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value: 0.
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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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@@ -31,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper-large-v3-pt-3000h-4
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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 common_voice_18_0 dataset.
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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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tags:
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- generated_from_trainer
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datasets:
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- fsicoli/common_voice_18_0
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metrics:
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- wer
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model-index:
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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/common_voice_18_0 pt
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type: fsicoli/common_voice_18_0
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config: pt
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split: None
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args: pt
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metrics:
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- name: Wer
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type: wer
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value: 0.10807174887892376
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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-3000h-4
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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/common_voice_18_0 pt dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1938
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- Wer: 0.1081
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## Model description
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all_results.json
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{
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"epoch": 10.0,
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"eval_loss": 0.19376881420612335,
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"eval_runtime": 8271.5667,
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"eval_samples": 9494,
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"eval_samples_per_second": 1.148,
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"eval_steps_per_second": 0.144,
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"eval_wer": 0.10807174887892376,
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"total_flos": 7.517848352823706e+20,
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"train_loss": 0.018776766294569685,
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"train_runtime": 360719.5114,
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"train_samples": 22116,
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"train_samples_per_second": 0.613,
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"train_steps_per_second": 0.153
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_loss": 0.19376881420612335,
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"eval_runtime": 8271.5667,
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"eval_samples": 9494,
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"eval_samples_per_second": 1.148,
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"eval_steps_per_second": 0.144,
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"eval_wer": 0.10807174887892376
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}
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runs/Aug28_14-18-51_DITEC2014063010/events.out.tfevents.1725558105.DITEC2014063010.87064.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d6cc6a905577cafa8ef12060ba1a29a07b8d0e1a7ed4b8008bc93ce45c8f740
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size 412
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 7.517848352823706e+20,
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"train_loss": 0.018776766294569685,
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"train_runtime": 360719.5114,
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"train_samples": 22116,
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"train_samples_per_second": 0.613,
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"train_steps_per_second": 0.153
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}
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trainer_state.json
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