70B_4bit

This model is a fine-tuned version of NousResearch/Meta-Llama-3.1-70B-Instruct on the wisenut_lora_sft 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-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • total_eval_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 1.0

Training results

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.1
  • Pytorch 2.2.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for wisenut-nlp-team/Wisenut-3.1-70B-Instruct-4Bit-Lora-SFT

Adapter
(2)
this model