---
base_model: cyberagent/open-calm-3b
library_name: peft
license: cc-by-sa-4.0
tags:
- generated_from_trainer
model-index:
- name: lora
  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. -->

# lora

This model is a fine-tuned version of [cyberagent/open-calm-3b](https://huggingface.co/cyberagent/open-calm-3b) on an unknown dataset.

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.20.1