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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: answerdotai/ModernBERT-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# answerdotai-ModernBERT-basemhr2004-atomic.anion.train.no1e-06-64 |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4237 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 128 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.5508 | 1.0 | 2304 | 0.5309 | |
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| 0.4909 | 2.0 | 4608 | 0.4951 | |
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| 0.4684 | 3.0 | 6912 | 0.4759 | |
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| 0.4607 | 4.0 | 9216 | 0.4630 | |
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| 0.4396 | 5.0 | 11520 | 0.4563 | |
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| 0.4361 | 6.0 | 13824 | 0.4505 | |
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| 0.4235 | 7.0 | 16128 | 0.4534 | |
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| 0.4199 | 8.0 | 18432 | 0.4429 | |
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| 0.4154 | 9.0 | 20736 | 0.4396 | |
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| 0.4155 | 10.0 | 23040 | 0.4369 | |
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| 0.4021 | 11.0 | 25344 | 0.4324 | |
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| 0.3966 | 12.0 | 27648 | 0.4323 | |
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| 0.3929 | 13.0 | 29952 | 0.4292 | |
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| 0.3908 | 14.0 | 32256 | 0.4273 | |
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| 0.3872 | 15.0 | 34560 | 0.4289 | |
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| 0.3834 | 16.0 | 36864 | 0.4261 | |
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| 0.3767 | 17.0 | 39168 | 0.4276 | |
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| 0.3775 | 18.0 | 41472 | 0.4270 | |
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| 0.367 | 19.0 | 43776 | 0.4260 | |
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| 0.3673 | 20.0 | 46080 | 0.4275 | |
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| 0.3726 | 21.0 | 48384 | 0.4233 | |
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| 0.3575 | 22.0 | 50688 | 0.4248 | |
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| 0.3633 | 23.0 | 52992 | 0.4251 | |
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| 0.36 | 24.0 | 55296 | 0.4237 | |
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### Framework versions |
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- Transformers 4.51.2 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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