metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert_seeker
results: []
modernbert_seeker
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8876
- F1: 0.7635
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 92 | 0.6179 | 0.5993 |
| 0.7932 | 2.0 | 184 | 0.6113 | 0.5993 |
| 0.6589 | 3.0 | 276 | 0.6632 | 0.6305 |
| 0.6418 | 4.0 | 368 | 0.6268 | 0.5993 |
| 0.6315 | 5.0 | 460 | 0.9375 | 0.2508 |
| 0.6522 | 6.0 | 552 | 0.5820 | 0.5886 |
| 0.6183 | 7.0 | 644 | 0.5538 | 0.6857 |
| 0.6136 | 8.0 | 736 | 0.5223 | 0.6736 |
| 0.496 | 9.0 | 828 | 0.7308 | 0.7777 |
| 0.4858 | 10.0 | 920 | 0.7452 | 0.7832 |
| 0.4181 | 11.0 | 1012 | 0.7523 | 0.7799 |
| 0.3395 | 12.0 | 1104 | 1.1841 | 0.7417 |
| 0.3395 | 13.0 | 1196 | 0.7770 | 0.8181 |
| 0.2375 | 14.0 | 1288 | 1.1497 | 0.7773 |
| 0.1728 | 15.0 | 1380 | 1.5189 | 0.7635 |
| 0.0324 | 16.0 | 1472 | 1.6500 | 0.7420 |
| 0.0764 | 17.0 | 1564 | 1.5011 | 0.7635 |
| 0.0244 | 18.0 | 1656 | 1.5790 | 0.7544 |
| 0.0002 | 19.0 | 1748 | 1.9299 | 0.7539 |
| 0.0004 | 20.0 | 1840 | 1.7885 | 0.7635 |
| 0.0001 | 21.0 | 1932 | 1.8230 | 0.7635 |
| 0.0001 | 22.0 | 2024 | 1.8578 | 0.7635 |
| 0.0 | 23.0 | 2116 | 1.8765 | 0.7635 |
| 0.0 | 24.0 | 2208 | 1.8845 | 0.7635 |
| 0.0 | 25.0 | 2300 | 1.8876 | 0.7635 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0