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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-large |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: assignment4_ModernBertLarge_clinc |
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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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# assignment4_ModernBertLarge_clinc |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1646 |
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- Accuracy: 0.9723 |
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- F1: 0.9720 |
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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: 3e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| 1.9174 | 0.4193 | 200 | 0.3720 | 0.9081 | 0.9075 | |
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| 0.2511 | 0.8386 | 400 | 0.2528 | 0.9484 | 0.9481 | |
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| 0.1067 | 1.2579 | 600 | 0.2138 | 0.9539 | 0.9532 | |
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| 0.0554 | 1.6771 | 800 | 0.1951 | 0.9581 | 0.9573 | |
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| 0.0488 | 2.0964 | 1000 | 0.1656 | 0.9694 | 0.9689 | |
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| 0.0163 | 2.5157 | 1200 | 0.1596 | 0.9726 | 0.9722 | |
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| 0.01 | 2.9350 | 1400 | 0.1666 | 0.9742 | 0.9739 | |
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| 0.0035 | 3.3543 | 1600 | 0.1614 | 0.9739 | 0.9736 | |
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| 0.0013 | 3.7736 | 1800 | 0.1646 | 0.9723 | 0.9720 | |
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### Framework versions |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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