metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64
results: []
answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4237
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-06
- train_batch_size: 128
- eval_batch_size: 512
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5508 | 1.0 | 2304 | 0.5309 |
| 0.4909 | 2.0 | 4608 | 0.4951 |
| 0.4684 | 3.0 | 6912 | 0.4759 |
| 0.4607 | 4.0 | 9216 | 0.4630 |
| 0.4396 | 5.0 | 11520 | 0.4563 |
| 0.4361 | 6.0 | 13824 | 0.4505 |
| 0.4235 | 7.0 | 16128 | 0.4534 |
| 0.4199 | 8.0 | 18432 | 0.4429 |
| 0.4154 | 9.0 | 20736 | 0.4396 |
| 0.4155 | 10.0 | 23040 | 0.4369 |
| 0.4021 | 11.0 | 25344 | 0.4324 |
| 0.3966 | 12.0 | 27648 | 0.4323 |
| 0.3929 | 13.0 | 29952 | 0.4292 |
| 0.3908 | 14.0 | 32256 | 0.4273 |
| 0.3872 | 15.0 | 34560 | 0.4289 |
| 0.3834 | 16.0 | 36864 | 0.4261 |
| 0.3767 | 17.0 | 39168 | 0.4276 |
| 0.3775 | 18.0 | 41472 | 0.4270 |
| 0.367 | 19.0 | 43776 | 0.4260 |
| 0.3673 | 20.0 | 46080 | 0.4275 |
| 0.3726 | 21.0 | 48384 | 0.4233 |
| 0.3575 | 22.0 | 50688 | 0.4248 |
| 0.3633 | 23.0 | 52992 | 0.4251 |
| 0.36 | 24.0 | 55296 | 0.4237 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1