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---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: modernbert_seeker1
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. -->
# modernbert_seeker1
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6513
- F1: 0.6676
## 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: 2e-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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 92 | 1.1453 | 0.2556 |
| 1.2432 | 2.0 | 184 | 1.1348 | 0.2269 |
| 1.1447 | 3.0 | 276 | 1.1944 | 0.2624 |
| 1.0924 | 4.0 | 368 | 0.9543 | 0.4673 |
| 0.9918 | 5.0 | 460 | 1.0970 | 0.4892 |
| 0.8981 | 6.0 | 552 | 1.2106 | 0.5669 |
| 0.9261 | 7.0 | 644 | 0.8952 | 0.6269 |
| 0.8208 | 8.0 | 736 | 1.1409 | 0.5480 |
| 0.645 | 9.0 | 828 | 1.7286 | 0.5748 |
| 0.6745 | 10.0 | 920 | 1.4750 | 0.6229 |
| 0.5947 | 11.0 | 1012 | 1.7091 | 0.6628 |
| 0.517 | 12.0 | 1104 | 3.0948 | 0.6180 |
| 0.517 | 13.0 | 1196 | 2.5940 | 0.6671 |
| 0.4901 | 14.0 | 1288 | 2.9827 | 0.6348 |
| 0.2048 | 15.0 | 1380 | 3.1023 | 0.6483 |
| 0.1188 | 16.0 | 1472 | 3.7382 | 0.6332 |
| 0.1236 | 17.0 | 1564 | 3.5499 | 0.6535 |
| 0.0828 | 18.0 | 1656 | 3.6281 | 0.6533 |
| 0.0479 | 19.0 | 1748 | 3.2783 | 0.6820 |
| 0.0081 | 20.0 | 1840 | 3.6055 | 0.6676 |
| 0.031 | 21.0 | 1932 | 3.6255 | 0.6778 |
| 0.0008 | 22.0 | 2024 | 3.6279 | 0.6850 |
| 0.0 | 23.0 | 2116 | 3.6376 | 0.6676 |
| 0.0001 | 24.0 | 2208 | 3.6440 | 0.6676 |
| 0.0 | 25.0 | 2300 | 3.6513 | 0.6676 |
### Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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