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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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metrics: |
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- f1 |
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- accuracy |
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- precision |
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- recall |
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model-index: |
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- name: fluency-scorer |
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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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# fluency-scorer |
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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: 0.3830 |
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- F1: 0.8183 |
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- Accuracy: 0.8212 |
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- Precision: 0.8171 |
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- Recall: 0.8212 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:| |
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| No log | 0 | 0 | 0.7214 | 0.5368 | 0.5168 | 0.6201 | 0.5168 | |
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| 0.5801 | 1.0 | 6158 | 0.4019 | 0.8069 | 0.8092 | 0.8056 | 0.8092 | |
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| 0.4354 | 2.0 | 12316 | 0.3835 | 0.8176 | 0.8212 | 0.8165 | 0.8212 | |
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| 0.4089 | 3.0 | 18474 | 0.3830 | 0.8183 | 0.8212 | 0.8171 | 0.8212 | |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.21.0 |
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