| --- |
| license: mit |
| base_model: thenlper/gte-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: checkpoint |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # checkpoint |
|
|
| This model is a fine-tuned version of [thenlper/gte-large](https://huggingface.co/thenlper/gte-large) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1728 |
| - Accuracy: 0.9545 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.4496 | 1.0 | 11 | 0.8490 | 0.8 | |
| | 0.6028 | 2.0 | 22 | 0.3205 | 0.8909 | |
| | 0.183 | 3.0 | 33 | 0.2986 | 0.9273 | |
| | 0.0749 | 4.0 | 44 | 0.2600 | 0.9455 | |
| | 0.039 | 5.0 | 55 | 0.1932 | 0.9636 | |
| | 0.0208 | 6.0 | 66 | 0.1570 | 0.9636 | |
| | 0.0147 | 7.0 | 77 | 0.2016 | 0.9545 | |
| | 0.0119 | 8.0 | 88 | 0.1818 | 0.9545 | |
| | 0.0059 | 9.0 | 99 | 0.1700 | 0.9545 | |
| | 0.0048 | 10.0 | 110 | 0.1728 | 0.9545 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.39.3 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.15.2 |
|
|
