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--- |
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library_name: transformers |
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license: mit |
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base_model: intfloat/multilingual-e5-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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model-index: |
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- name: lemone-router-l |
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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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# lemone-router-l |
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This model is a fine-tuned version of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4734 |
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- Accuracy: 0.9191 |
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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: 2.6763799752474963e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 64 |
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- seed: 25 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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 | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 0.6402 | 1.0 | 11233 | 0.6569 | 0.8630 | |
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| 0.5031 | 2.0 | 22466 | 0.5058 | 0.9025 | |
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| 0.2196 | 3.0 | 33699 | 0.4734 | 0.9191 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.1 |
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