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---
license: apache-2.0
base_model: google/flan-t5-small
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 is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1133
## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- 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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6316 | 0.46 | 50 | 0.6287 |
| 0.6403 | 0.93 | 100 | 0.3378 |
| 0.4213 | 1.39 | 150 | 0.2460 |
| 0.3452 | 1.85 | 200 | 0.2184 |
| 0.306 | 2.31 | 250 | 0.1903 |
| 0.2634 | 2.78 | 300 | 0.1807 |
| 0.2423 | 3.24 | 350 | 0.1630 |
| 0.2224 | 3.7 | 400 | 0.1599 |
| 0.2107 | 4.17 | 450 | 0.1522 |
| 0.1922 | 4.63 | 500 | 0.1515 |
| 0.1887 | 5.09 | 550 | 0.1394 |
| 0.1821 | 5.56 | 600 | 0.1414 |
| 0.1705 | 6.02 | 650 | 0.1378 |
| 0.1602 | 6.48 | 700 | 0.1330 |
| 0.1579 | 6.94 | 750 | 0.1300 |
| 0.1497 | 7.41 | 800 | 0.1282 |
| 0.1534 | 7.87 | 850 | 0.1277 |
| 0.147 | 8.33 | 900 | 0.1274 |
| 0.1395 | 8.8 | 950 | 0.1204 |
| 0.1361 | 9.26 | 1000 | 0.1235 |
| 0.1353 | 9.72 | 1050 | 0.1210 |
| 0.1303 | 10.19 | 1100 | 0.1220 |
| 0.132 | 10.65 | 1150 | 0.1232 |
| 0.1262 | 11.11 | 1200 | 0.1193 |
| 0.1228 | 11.57 | 1250 | 0.1229 |
| 0.1261 | 12.04 | 1300 | 0.1215 |
| 0.1204 | 12.5 | 1350 | 0.1163 |
| 0.12 | 12.96 | 1400 | 0.1189 |
| 0.11 | 13.43 | 1450 | 0.1173 |
| 0.1183 | 13.89 | 1500 | 0.1149 |
| 0.108 | 14.35 | 1550 | 0.1178 |
| 0.1122 | 14.81 | 1600 | 0.1150 |
| 0.1126 | 15.28 | 1650 | 0.1157 |
| 0.112 | 15.74 | 1700 | 0.1152 |
| 0.1046 | 16.2 | 1750 | 0.1156 |
| 0.1057 | 16.67 | 1800 | 0.1138 |
| 0.1067 | 17.13 | 1850 | 0.1129 |
| 0.1078 | 17.59 | 1900 | 0.1140 |
| 0.1043 | 18.06 | 1950 | 0.1135 |
| 0.1033 | 18.52 | 2000 | 0.1138 |
| 0.1017 | 18.98 | 2050 | 0.1140 |
| 0.102 | 19.44 | 2100 | 0.1125 |
| 0.1012 | 19.91 | 2150 | 0.1133 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.11.0
- Tokenizers 0.14.1
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