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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: modernbert-base-multi-head |
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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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# modernbert-base-multi-head |
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6827 |
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- F1 Macro: 0.4188 |
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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: 5e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.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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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.5788 | 1.0 | 1534 | 0.5783 | 0.0 | |
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| 0.5675 | 2.0 | 3068 | 0.5714 | 0.1304 | |
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| 0.5424 | 3.0 | 4602 | 0.5386 | 0.1952 | |
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| 0.516 | 4.0 | 6136 | 0.5493 | 0.2382 | |
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| 0.4922 | 5.0 | 7670 | 0.6015 | 0.2394 | |
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| 0.4744 | 6.0 | 9204 | 0.5404 | 0.3192 | |
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| 0.4494 | 7.0 | 10738 | 0.5746 | 0.3733 | |
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| 0.4353 | 8.0 | 12272 | 0.5689 | 0.3396 | |
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| 0.4147 | 9.0 | 13806 | 0.5695 | 0.3608 | |
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| 0.4006 | 10.0 | 15340 | 0.6441 | 0.3871 | |
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| 0.3843 | 11.0 | 16874 | 0.5938 | 0.3888 | |
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| 0.3763 | 12.0 | 18408 | 0.6159 | 0.4054 | |
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| 0.3606 | 13.0 | 19942 | 0.5831 | 0.4042 | |
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| 0.3478 | 14.0 | 21476 | 0.6116 | 0.4056 | |
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| 0.3447 | 15.0 | 23010 | 0.6169 | 0.3999 | |
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| 0.3215 | 16.0 | 24544 | 0.6441 | 0.4150 | |
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| 0.3196 | 17.0 | 26078 | 0.6530 | 0.4129 | |
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| 0.3184 | 18.0 | 27612 | 0.6634 | 0.4192 | |
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| 0.3065 | 19.0 | 29146 | 0.6791 | 0.4192 | |
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| 0.298 | 20.0 | 30680 | 0.6827 | 0.4188 | |
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### Framework versions |
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- Transformers 4.53.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 2.14.4 |
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- Tokenizers 0.21.2 |
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