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---
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
|