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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: eternis_router_encoder_sft_4Sep |
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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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# eternis_router_encoder_sft_4Sep |
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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: 0.1710 |
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- Mse: 0.1710 |
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- Model Accuracy: 0.3285 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.06 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | Model Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:--------------:| |
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| 0.4021 | 0.3429 | 300 | 0.1875 | 0.1875 | 0.153 | |
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| 0.3702 | 0.6857 | 600 | 0.1809 | 0.1809 | 0.1757 | |
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| 0.36 | 1.0286 | 900 | 0.1762 | 0.1762 | 0.3068 | |
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| 0.3686 | 1.3714 | 1200 | 0.1788 | 0.1788 | 0.2333 | |
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| 0.3337 | 1.7143 | 1500 | 0.1733 | 0.1733 | 0.3192 | |
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| 0.3293 | 2.0571 | 1800 | 0.1709 | 0.1709 | 0.3297 | |
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| 0.3245 | 2.4 | 2100 | 0.1706 | 0.1706 | 0.3035 | |
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| 0.3158 | 2.7429 | 2400 | 0.1710 | 0.1710 | 0.3285 | |
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### Framework versions |
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- Transformers 4.56.0 |
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- Pytorch 2.7.0 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.0 |
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