Se sube el modelo :)
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
README.md
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license: apache-2.0
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base_model: distilroberta-base
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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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# platzi-distilroberta-base-mrpc-glue-svrodela
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.7116
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- Accuracy: 0.8260
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license: apache-2.0
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base_model: distilroberta-base
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tags:
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- text-cassification
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- generated_from_trainer
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metrics:
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- accuracy
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# platzi-distilroberta-base-mrpc-glue-svrodela
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue and the mrpc datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.7116
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- Accuracy: 0.8260
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 205471423937184.0,
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"train_loss": 0.38828777903305417,
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"train_runtime": 6450.2459,
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"train_samples_per_second": 1.706,
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"train_steps_per_second": 0.213
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}
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 205471423937184.0,
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"train_loss": 0.38828777903305417,
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"train_runtime": 6450.2459,
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"train_samples_per_second": 1.706,
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"train_steps_per_second": 0.213
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}
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