End of training
Browse files- README.md +2 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +132 -0
README.md
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@@ -3,6 +3,7 @@ library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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# 3_epoch_noFirVox
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4373
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- Accuracy: 0.87
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- audio-classification
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- generated_from_trainer
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metrics:
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- accuracy
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# 3_epoch_noFirVox
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the /home/investigacion/disco4TB/workspace_pablo/firvox_whisper_research/finetunnig/dataset/dataset_parquet/dataset_1000x6_noFirVox_correctedpaths.parquet dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4373
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- Accuracy: 0.87
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all_results.json
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"epoch": 3.0,
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"eval_accuracy": 0.87,
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"eval_steps_per_second": 0.321,
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"total_flos": 1.710302191115305e+17,
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"train_samples_per_second": 20.74,
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"train_steps_per_second": 0.325
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}
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eval_results.json
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"epoch": 3.0,
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"eval_accuracy": 0.87,
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}
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train_results.json
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}
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trainer_state.json
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