---
license: gemma
base_model: scottsuk0306/easylm-sft-gemma-2-2b
tags:
- easylm
- trl
- reward-trainer
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: easylm-hs-rm-gemma-2-2b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# easylm-hs-rm-gemma-2-2b

This model is a fine-tuned version of [scottsuk0306/easylm-sft-gemma-2-2b](https://huggingface.co/scottsuk0306/easylm-sft-gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6134
- Accuracy: 0.6647

## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6567        | 0.9963 | 200  | 0.6134          | 0.6647   |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1