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library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: modernbert-base-multi-head
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-base-multi-head
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: 0.6827
- F1 Macro: 0.4188
## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.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: 0.05
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5788 | 1.0 | 1534 | 0.5783 | 0.0 |
| 0.5675 | 2.0 | 3068 | 0.5714 | 0.1304 |
| 0.5424 | 3.0 | 4602 | 0.5386 | 0.1952 |
| 0.516 | 4.0 | 6136 | 0.5493 | 0.2382 |
| 0.4922 | 5.0 | 7670 | 0.6015 | 0.2394 |
| 0.4744 | 6.0 | 9204 | 0.5404 | 0.3192 |
| 0.4494 | 7.0 | 10738 | 0.5746 | 0.3733 |
| 0.4353 | 8.0 | 12272 | 0.5689 | 0.3396 |
| 0.4147 | 9.0 | 13806 | 0.5695 | 0.3608 |
| 0.4006 | 10.0 | 15340 | 0.6441 | 0.3871 |
| 0.3843 | 11.0 | 16874 | 0.5938 | 0.3888 |
| 0.3763 | 12.0 | 18408 | 0.6159 | 0.4054 |
| 0.3606 | 13.0 | 19942 | 0.5831 | 0.4042 |
| 0.3478 | 14.0 | 21476 | 0.6116 | 0.4056 |
| 0.3447 | 15.0 | 23010 | 0.6169 | 0.3999 |
| 0.3215 | 16.0 | 24544 | 0.6441 | 0.4150 |
| 0.3196 | 17.0 | 26078 | 0.6530 | 0.4129 |
| 0.3184 | 18.0 | 27612 | 0.6634 | 0.4192 |
| 0.3065 | 19.0 | 29146 | 0.6791 | 0.4192 |
| 0.298 | 20.0 | 30680 | 0.6827 | 0.4188 |
### Framework versions
- Transformers 4.53.1
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
|