distilbert-base-uncased-ICU-Readmission-classification_test1.0_DistilBERT
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2937
- F1: 0.6
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| 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 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for NgechuJohn/distilbert-base-uncased-ICU-Readmission-classification_test1.0_DistilBERT
Base model
distilbert/distilbert-base-uncased