IgnaCodeIA
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Transfer Learning realizado! 🤗
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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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# text-Classification
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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: 0.4973
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- Accuracy: 0.8529
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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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# text-Classification
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4973
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- Accuracy: 0.8529
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8529411764705882,
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"eval_f1": 0.8943661971830986,
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"eval_loss": 0.49726614356040955,
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"eval_runtime": 1.6337,
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"eval_samples_per_second": 249.747,
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"eval_steps_per_second": 31.218,
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"train_loss": 0.40587214273911243,
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"train_runtime": 162.9373,
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"train_samples_per_second": 67.535,
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"train_steps_per_second": 8.451
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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": 0.8529411764705882,
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"eval_f1": 0.8943661971830986,
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"eval_loss": 0.49726614356040955,
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"eval_runtime": 1.6337,
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"eval_samples_per_second": 249.747,
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"eval_steps_per_second": 31.218
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}
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runs/Feb17_12-58-17_MacBook-Pro-de-Ignacio.local/events.out.tfevents.1708171390.MacBook-Pro-de-Ignacio.local.15645.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a589dd4d04e20ed7554d2a9a512b6538b91b45b00de7600e984bbd5061dc1268
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size 457
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.40587214273911243,
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"train_runtime": 162.9373,
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"train_samples_per_second": 67.535,
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"train_steps_per_second": 8.451
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}
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