metadata
license: mit
base_model: jahb57/test_trainer
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: ORIGINAL_LORA_Model
results: []
ORIGINAL_LORA_Model
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1