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---
base_model: google/gemma-2b
library_name: peft
license: gemma
metrics:
- accuracy
tags:
- trl
- reward-trainer
- generated_from_trainer
model-index:
- name: run
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. -->
# run
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4823
- Accuracy: 0.75
## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6406 | 0.1773 | 25 | 0.5870 | 0.6806 |
| 0.5156 | 0.3546 | 50 | 0.5284 | 0.7292 |
| 0.6289 | 0.5319 | 75 | 0.4963 | 0.7639 |
| 0.4766 | 0.7092 | 100 | 0.4715 | 0.7639 |
| 0.3594 | 0.8865 | 125 | 0.4581 | 0.7431 |
| 0.4082 | 1.0638 | 150 | 0.4663 | 0.75 |
| 0.3262 | 1.2411 | 175 | 0.4452 | 0.7569 |
| 0.3594 | 1.4184 | 200 | 0.4306 | 0.75 |
| 0.4033 | 1.5957 | 225 | 0.4411 | 0.7639 |
| 0.3789 | 1.7730 | 250 | 0.4331 | 0.7708 |
| 0.293 | 1.9504 | 275 | 0.4652 | 0.7569 |
| 0.3555 | 2.1277 | 300 | 0.4356 | 0.7569 |
| 0.4375 | 2.3050 | 325 | 0.4415 | 0.7569 |
| 0.377 | 2.4823 | 350 | 0.4525 | 0.7292 |
| 0.3633 | 2.6596 | 375 | 0.4505 | 0.7708 |
| 0.2461 | 2.8369 | 400 | 0.4581 | 0.7431 |
| 0.3115 | 3.0142 | 425 | 0.4499 | 0.7361 |
| 0.3896 | 3.1915 | 450 | 0.4421 | 0.75 |
| 0.373 | 3.3688 | 475 | 0.4602 | 0.7569 |
| 0.2415 | 3.5461 | 500 | 0.4537 | 0.7639 |
| 0.334 | 3.7234 | 525 | 0.4650 | 0.7569 |
| 0.3662 | 3.9007 | 550 | 0.4750 | 0.7569 |
| 0.3232 | 4.0780 | 575 | 0.4778 | 0.7361 |
| 0.3369 | 4.2553 | 600 | 0.4709 | 0.75 |
| 0.5273 | 4.4326 | 625 | 0.4780 | 0.75 |
| 0.3623 | 4.6099 | 650 | 0.4839 | 0.75 |
| 0.2148 | 4.7872 | 675 | 0.4855 | 0.7431 |
| 0.3604 | 4.9645 | 700 | 0.4823 | 0.75 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |