---
tags:
- generated_from_trainer
model-index:
- name: medication-single
  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-single

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1729

## 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: 4
- eval_batch_size: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 16.9944       | 0.56  | 10   | 14.4855         |
| 8.9359        | 1.11  | 20   | 6.6117          |
| 4.7661        | 1.67  | 30   | 2.9825          |
| 2.0337        | 2.22  | 40   | 1.8939          |
| 1.4419        | 2.78  | 50   | 1.5266          |
| 0.9889        | 3.33  | 60   | 1.3596          |
| 0.8627        | 3.89  | 70   | 1.2588          |
| 0.7604        | 4.44  | 80   | 1.1964          |
| 0.8141        | 5.0   | 90   | 1.1729          |


### Framework versions

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