---
tags:
- generated_from_trainer
model-index:
- name: medication-lists
  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. -->

# medication-lists

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0228

## 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: 0.004
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2309        | 0.15  | 400  | 0.1886          |
| 0.151         | 0.3   | 800  | 0.1260          |
| 0.1061        | 0.45  | 1200 | 0.0852          |
| 0.0773        | 0.6   | 1600 | 0.0610          |
| 0.0693        | 0.75  | 2000 | 0.0498          |
| 0.0505        | 0.9   | 2400 | 0.0428          |
| 0.0428        | 1.05  | 2800 | 0.0387          |
| 0.0343        | 1.2   | 3200 | 0.0324          |
| 0.0289        | 1.35  | 3600 | 0.0299          |
| 0.0281        | 1.5   | 4000 | 0.0265          |
| 0.0251        | 1.65  | 4400 | 0.0250          |
| 0.0208        | 1.8   | 4800 | 0.0236          |
| 0.021         | 1.95  | 5200 | 0.0228          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.14.1