nhn_dpo_v3_mergekit_v2_DPO

This model is a fine-tuned version of Deepnoid/mergekit_v2 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: 5e-07
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 6
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 48
  • total_eval_batch_size: 48
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.0.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.1
Downloads last month
4,545
Safetensors
Model size
10.7B params
Tensor type
BF16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ENERGY-DRINK-LOVE/deepnoid_DPOv3

Finetuned
(1)
this model
Quantizations
3 models

Spaces using ENERGY-DRINK-LOVE/deepnoid_DPOv3 6