metadata
tags:
- generated_from_trainer
model-index:
- name: medication-single
results: []
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