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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: Alibaba-NLP/gte-multilingual-reranker-base |
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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: ModernBERT-Letter |
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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-Letter |
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This model is a fine-tuned version of [Alibaba-NLP/gte-multilingual-reranker-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-reranker-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0038 |
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- Accuracy: 1.0 |
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- F1: 1.0 |
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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-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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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: 10 |
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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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| No log | 1.0 | 161 | 0.4207 | 0.9580 | 0.9554 | |
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| No log | 2.0 | 322 | 0.0516 | 0.9965 | 0.9964 | |
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| No log | 3.0 | 483 | 0.0187 | 1.0 | 1.0 | |
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| 0.391 | 4.0 | 644 | 0.0104 | 1.0 | 1.0 | |
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| 0.391 | 5.0 | 805 | 0.0072 | 1.0 | 1.0 | |
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| 0.391 | 6.0 | 966 | 0.0056 | 1.0 | 1.0 | |
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| 0.0145 | 7.0 | 1127 | 0.0047 | 1.0 | 1.0 | |
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| 0.0145 | 8.0 | 1288 | 0.0042 | 1.0 | 1.0 | |
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| 0.0145 | 9.0 | 1449 | 0.0039 | 1.0 | 1.0 | |
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| 0.0079 | 10.0 | 1610 | 0.0038 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.3.1 |
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- Tokenizers 0.21.0 |
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