---
library_name: transformers
license: gemma
base_model: kykim0/gemma-2-2b-tulu-v2-mix
tags:
- generated_from_trainer
datasets:
- allenai/ultrafeedback_binarized_cleaned
model-index:
- name: b64-lr1.41e-05-s0-e1-btbinf-seed42
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# b64-lr1.41e-05-s0-e1-btbinf-seed42

This model is a fine-tuned version of [kykim0/gemma-2-2b-tulu-v2-mix](https://huggingface.co/kykim0/gemma-2-2b-tulu-v2-mix) on the allenai/ultrafeedback_binarized_cleaned dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4495
- Accuracy: 0.7714

## 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
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.19.1