metadata
library_name: transformers
base_model: yikuan8/Clinical-Longformer
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: finetuned_ClinicalLongformer_newData_undersampling
results: []
finetuned_ClinicalLongformer_newData_undersampling
This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5173
- F1: 0.7647
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6886 | 1.0 | 12 | 0.7002 | 0.56 |
| 0.6558 | 2.0 | 24 | 0.6807 | 0.6087 |
| 0.6087 | 3.0 | 36 | 0.5738 | 0.7568 |
| 0.5527 | 4.0 | 48 | 0.5173 | 0.7647 |
| 0.3949 | 5.0 | 60 | 0.5088 | 0.6897 |
| 0.3269 | 6.0 | 72 | 0.5050 | 0.7222 |
| 0.3196 | 7.0 | 84 | 0.5267 | 0.6897 |
| 0.2235 | 8.0 | 96 | 0.5024 | 0.7333 |
| 0.1633 | 9.0 | 108 | 0.4877 | 0.7143 |
| 0.136 | 10.0 | 120 | 0.5723 | 0.6667 |
| 0.1101 | 11.0 | 132 | 0.6704 | 0.6429 |
| 0.0673 | 12.0 | 144 | 0.7958 | 0.6897 |
| 0.0795 | 13.0 | 156 | 0.8270 | 0.6154 |
| 0.0716 | 14.0 | 168 | 0.8288 | 0.5926 |
| 0.0297 | 15.0 | 180 | 0.9462 | 0.6154 |
| 0.0236 | 16.0 | 192 | 1.0562 | 0.56 |
| 0.2009 | 17.0 | 204 | 1.0884 | 0.6429 |
| 0.0298 | 18.0 | 216 | 1.1095 | 0.6429 |
| 0.0134 | 19.0 | 228 | 1.1237 | 0.5926 |
| 0.0147 | 20.0 | 240 | 1.1291 | 0.5926 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0