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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: 0809_031041-google-gemma-2b
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. -->
# 0809_031041-google-gemma-2b
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: 0.3773
- Accuracy: 0.8239
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.4824 | 0.3546 | 50 | 0.5036 | 0.7367 |
| 0.3486 | 0.7092 | 100 | 0.4458 | 0.7746 |
| 0.3555 | 1.0638 | 150 | 0.4337 | 0.8030 |
| 0.3447 | 1.4184 | 200 | 0.4066 | 0.8239 |
| 0.3008 | 1.7730 | 250 | 0.3979 | 0.8258 |
| 0.3857 | 2.1277 | 300 | 0.3888 | 0.8390 |
| 0.2754 | 2.4823 | 350 | 0.3760 | 0.8314 |
| 0.4746 | 2.8369 | 400 | 0.3798 | 0.8258 |
| 0.3281 | 3.1915 | 450 | 0.3734 | 0.8258 |
| 0.3149 | 3.5461 | 500 | 0.3827 | 0.8277 |
| 0.2695 | 3.9007 | 550 | 0.3720 | 0.8277 |
| 0.2524 | 4.2553 | 600 | 0.3758 | 0.8239 |
| 0.2197 | 4.6099 | 650 | 0.3768 | 0.8220 |
| 0.251 | 4.9645 | 700 | 0.3773 | 0.8239 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |