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---
license: gemma
library_name: peft
tags:
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
base_model: google/gemma-2b
model-index:
- name: RM-HH-Gemma_harmless_human_20000_gemma2b
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# RM-HH-Gemma_harmless_human_20000_gemma2b
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: 0.6196
- Accuracy: 0.6678
## 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: 1.41e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7635 | 0.06 | 250 | 0.7536 | 0.4972 |
| 0.7325 | 0.11 | 500 | 0.7235 | 0.5378 |
| 0.7285 | 0.17 | 750 | 0.7007 | 0.5673 |
| 0.7183 | 0.22 | 1000 | 0.6823 | 0.5973 |
| 0.6913 | 0.28 | 1250 | 0.6703 | 0.6113 |
| 0.6918 | 0.33 | 1500 | 0.6594 | 0.6263 |
| 0.6673 | 0.39 | 1750 | 0.6509 | 0.6368 |
| 0.6753 | 0.44 | 2000 | 0.6432 | 0.6398 |
| 0.6616 | 0.5 | 2250 | 0.6382 | 0.6503 |
| 0.672 | 0.56 | 2500 | 0.6336 | 0.6488 |
| 0.6457 | 0.61 | 2750 | 0.6308 | 0.6533 |
| 0.6705 | 0.67 | 3000 | 0.6276 | 0.6563 |
| 0.6534 | 0.72 | 3250 | 0.6247 | 0.6593 |
| 0.6176 | 0.78 | 3500 | 0.6228 | 0.6623 |
| 0.6597 | 0.83 | 3750 | 0.6210 | 0.6643 |
| 0.6404 | 0.89 | 4000 | 0.6201 | 0.6663 |
| 0.6199 | 0.94 | 4250 | 0.6196 | 0.6678 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2