Lo logramos de nuevo equipo Platzi! 🤗
Browse files- README.md +2 -1
- all_results.json +14 -0
- eval_results.json +9 -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-luis-montoya
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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: 0.8772
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- Accuracy: 0.8480
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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-classification
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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-luis-montoya
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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: 0.8772
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- Accuracy: 0.8480
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8480392156862745,
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"eval_f1": 0.89419795221843,
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"eval_loss": 0.8772198557853699,
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"eval_runtime": 10.9598,
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"eval_samples_per_second": 37.227,
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"eval_steps_per_second": 4.653,
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"total_flos": 205471423937184.0,
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"train_loss": 0.25807991942029634,
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"train_runtime": 1203.6077,
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"train_samples_per_second": 9.143,
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"train_steps_per_second": 1.144
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8480392156862745,
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"eval_f1": 0.89419795221843,
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"eval_loss": 0.8772198557853699,
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"eval_runtime": 10.9598,
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"eval_samples_per_second": 37.227,
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"eval_steps_per_second": 4.653
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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": 0.25807991942029634,
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"train_runtime": 1203.6077,
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"train_samples_per_second": 9.143,
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"train_steps_per_second": 1.144
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}
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