End of training
Browse files- README.md +17 -4
- all_results.json +15 -0
- eval_results.json +9 -0
- runs/Sep17_09-33-58_DITEC2014063010/events.out.tfevents.1726772597.DITEC2014063010 +3 -0
- train_results.json +9 -0
- trainer_state.json +0 -0
README.md
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@@ -4,11 +4,24 @@ license: apache-2.0
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base_model: openai/whisper-medium
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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-medium-pt-cv18-fleurs2-lr
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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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@@ -16,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
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# whisper-medium-pt-cv18-fleurs2-lr
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) 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-medium
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tags:
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- generated_from_trainer
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datasets:
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- fsicoli/cv18-fleurs
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metrics:
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- wer
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model-index:
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- name: whisper-medium-pt-cv18-fleurs2-lr
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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/cv18-fleurs default
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type: fsicoli/cv18-fleurs
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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: 0.10594170403587444
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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-medium-pt-cv18-fleurs2-lr
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the fsicoli/cv18-fleurs default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1662
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- Wer: 0.1059
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## Model description
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all_results.json
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{
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"epoch": 11.502185415228894,
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"eval_loss": 0.16616719961166382,
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"eval_runtime": 5426.913,
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"eval_samples": 9494,
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"eval_samples_per_second": 1.749,
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"eval_steps_per_second": 0.219,
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"eval_wer": 0.10594170403587444,
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"total_flos": 4.082307363540173e+20,
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"train_loss": 0.05244532932087779,
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"train_runtime": 190521.5004,
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"train_samples": 34775,
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"train_samples_per_second": 2.1,
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"train_steps_per_second": 0.131
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}
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eval_results.json
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{
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"epoch": 11.502185415228894,
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"eval_loss": 0.16616719961166382,
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"eval_runtime": 5426.913,
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"eval_samples": 9494,
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"eval_samples_per_second": 1.749,
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"eval_steps_per_second": 0.219,
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"eval_wer": 0.10594170403587444
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}
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runs/Sep17_09-33-58_DITEC2014063010/events.out.tfevents.1726772597.DITEC2014063010
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d6acb6b34bfd2386fda33c6a94bbf19a2bfdf204e1e532aacbd1838835f6710
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size 40
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train_results.json
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{
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"epoch": 11.502185415228894,
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"total_flos": 4.082307363540173e+20,
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"train_loss": 0.05244532932087779,
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"train_runtime": 190521.5004,
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"train_samples": 34775,
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"train_samples_per_second": 2.1,
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"train_steps_per_second": 0.131
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}
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trainer_state.json
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