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--- |
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license: mit |
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base_model: thenlper/gte-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: checkpoint |
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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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# checkpoint |
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This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1728 |
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- Accuracy: 0.9545 |
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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: 0.0001 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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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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- num_epochs: 10 |
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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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| 1.4496 | 1.0 | 11 | 0.8490 | 0.8 | |
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| 0.6028 | 2.0 | 22 | 0.3205 | 0.8909 | |
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| 0.183 | 3.0 | 33 | 0.2986 | 0.9273 | |
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| 0.0749 | 4.0 | 44 | 0.2600 | 0.9455 | |
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| 0.039 | 5.0 | 55 | 0.1932 | 0.9636 | |
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| 0.0208 | 6.0 | 66 | 0.1570 | 0.9636 | |
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| 0.0147 | 7.0 | 77 | 0.2016 | 0.9545 | |
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| 0.0119 | 8.0 | 88 | 0.1818 | 0.9545 | |
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| 0.0059 | 9.0 | 99 | 0.1700 | 0.9545 | |
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| 0.0048 | 10.0 | 110 | 0.1728 | 0.9545 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.15.2 |
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