---
base_model: distilbert-base-uncased
library_name: peft
license: apache-2.0
metrics:
- f1
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-ICU-Readmission-classification_test2_DistilBERT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-ICU-Readmission-classification_test2_DistilBERT

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6973
- F1: 0.5333

## 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: 0.0001
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7109        | 1.0   | 125  | 0.6959          | 0.4396 |
| 0.668         | 2.0   | 250  | 0.6841          | 0.5192 |
| 0.6016        | 3.0   | 375  | 0.6925          | 0.5098 |
| 0.5938        | 4.0   | 500  | 0.6892          | 0.5472 |
| 0.5625        | 5.0   | 625  | 0.6994          | 0.5000 |
| 0.6445        | 6.0   | 750  | 0.6970          | 0.5049 |
| 0.6602        | 7.0   | 875  | 0.6961          | 0.5333 |
| 0.6328        | 8.0   | 1000 | 0.6953          | 0.5333 |
| 0.625         | 9.0   | 1125 | 0.6975          | 0.5333 |
| 0.6406        | 10.0  | 1250 | 0.6973          | 0.5333 |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1