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NgechuJohn/distilbert-base-uncased-ICU-Readmission-classification_test1.0_DistilBERT
distilbert-base-uncased-ICU-Readmission-classification_test1.0_DistilBERT is a machine learning model from NgechuJohn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4844 | 1.0 | 125 | 0.6680 | 0.7007 |
| 0.4941 | 2.0 | 250 | 0.8327 | 0.4948 |
| 0.3145 | 3.0 | 375 | 0.8153 | 0.6387 |
| 0.3965 | 4.0 | 500 | 0.9581 | 0.6549 |
| 0.0708 | 5.0 | 625 | 1.0563 | 0.6610 |
| 0.3008 | 6.0 | 750 | 1.2182 | 0.6168 |
| 0.1211 | 7.0 | 875 | 1.2202 | 0.6379 |
| 0.0371 | 8.0 | 1000 | 1.2493 | 0.5872 |
| 0.0815 | 9.0 | 1125 | 1.2546 | 0.6261 |
| 0.0405 | 10.0 | 1250 | 1.2937 | 0.6 |