---
license: apache-2.0
base_model: UFNLP/gatortron-base
tags:
- generated_from_trainer
model-index:
- name: ICU_Returns_Gatortron
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# ICU_Returns_Gatortron

This model is a fine-tuned version of [UFNLP/gatortron-base](https://huggingface.co/UFNLP/gatortron-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7852
- F1:: 0.7203
- Roc Auc: 0.7335
- Precision with 0:: 0.9126
- Precision with 1:: 0.6628
- Recall with 0:: 0.5165
- Recal  with 1:: 0.9505
- Accuracy:: 0.7335

## 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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1:    | Roc Auc | Precision with 0: | Precision with 1: | Recall with 0: | Recal  with 1: | Accuracy: |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-----------------:|:-----------------:|:--------------:|:--------------:|:---------:|
| No log        | 1.0   | 46   | 0.6889          | 0.6965 | 0.7115  | 0.8812            | 0.6464            | 0.4890         | 0.9341         | 0.7115    |
| No log        | 2.0   | 92   | 0.7628          | 0.7287 | 0.7390  | 0.8919            | 0.6719            | 0.5440         | 0.9341         | 0.7390    |
| No log        | 3.0   | 138  | 1.8927          | 0.6372 | 0.6703  | 0.9306            | 0.6062            | 0.3681         | 0.9725         | 0.6703    |
| No log        | 4.0   | 184  | 1.7208          | 0.7236 | 0.7363  | 0.9135            | 0.6654            | 0.5220         | 0.9505         | 0.7363    |
| No log        | 5.0   | 230  | 1.7852          | 0.7203 | 0.7335  | 0.9126            | 0.6628            | 0.5165         | 0.9505         | 0.7335    |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1