|
|
--- |
|
|
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 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.35.0 |
|
|
- Pytorch 2.1.0+cu118 |
|
|
- Datasets 2.14.6 |
|
|
- Tokenizers 0.14.1 |
|
|
|
