| --- |
| license: mit |
| base_model: jahb57/test_trainer |
| tags: |
| - generated_from_trainer |
| datasets: |
| - yelp_review_full |
| metrics: |
| - accuracy |
| model-index: |
| - name: ORIGINAL_LORA_Model |
| 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. --> |
|
|
| # ORIGINAL_LORA_Model |
|
|
| This model is a fine-tuned version of [jahb57/test_trainer](https://huggingface.co/jahb57/test_trainer) on the yelp_review_full dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8158 |
| - Accuracy: 0.6355 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 12 |
| - eval_batch_size: 12 |
| - 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 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.9375 | 1.0 | 1667 | 0.8691 | 0.6155 | |
| | 0.8754 | 2.0 | 3334 | 0.8640 | 0.619 | |
| | 0.865 | 3.0 | 5001 | 0.8303 | 0.628 | |
| | 0.8558 | 4.0 | 6668 | 0.8217 | 0.6295 | |
| | 0.8267 | 5.0 | 8335 | 0.8195 | 0.6295 | |
| | 0.8042 | 6.0 | 10002 | 0.8388 | 0.638 | |
| | 0.797 | 7.0 | 11669 | 0.8172 | 0.6405 | |
| | 0.7887 | 8.0 | 13336 | 0.8146 | 0.6385 | |
| | 0.7764 | 9.0 | 15003 | 0.8202 | 0.635 | |
| | 0.7807 | 10.0 | 16670 | 0.8158 | 0.6355 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
