metadata
library_name: transformers
base_model: yikuan8/Clinical-Longformer
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: finetuned_ClinicalLongformer_newData
results: []
finetuned_ClinicalLongformer_newData
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: 0.5642
- F1: 0.8806
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 |
|---|---|---|---|---|
| 0.5848 | 1.0 | 25 | 0.5680 | 0.8333 |
| 0.4637 | 2.0 | 50 | 0.5057 | 0.8333 |
| 0.3851 | 3.0 | 75 | 0.5439 | 0.8633 |
| 0.3559 | 4.0 | 100 | 0.5642 | 0.8806 |
| 0.2903 | 5.0 | 125 | 0.5273 | 0.875 |
| 0.3463 | 6.0 | 150 | 0.7850 | 0.8741 |
| 0.3455 | 7.0 | 175 | 0.6507 | 0.8788 |
| 0.1776 | 8.0 | 200 | 0.6855 | 0.8769 |
| 0.1864 | 9.0 | 225 | 0.9215 | 0.8593 |
| 0.1548 | 10.0 | 250 | 0.9744 | 0.8485 |
| 0.0926 | 11.0 | 275 | 1.0779 | 0.8485 |
| 0.0857 | 12.0 | 300 | 1.4990 | 0.8369 |
| 0.0822 | 13.0 | 325 | 1.2385 | 0.8485 |
| 0.0783 | 14.0 | 350 | 1.4154 | 0.8444 |
| 0.0876 | 15.0 | 375 | 1.4720 | 0.8444 |
| 0.0152 | 16.0 | 400 | 1.4362 | 0.8397 |
| 0.0079 | 17.0 | 425 | 1.6063 | 0.8406 |
| 0.027 | 18.0 | 450 | 1.6123 | 0.8382 |
| 0.0403 | 19.0 | 475 | 1.5967 | 0.8444 |
| 0.0046 | 20.0 | 500 | 1.6041 | 0.8444 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0