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SpringDragon-NeMo-Instruct-QLoRA-ep1

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mistral
axolotl
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How to use from the
Use from the
PEFT library
from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407")
model = PeftModel.from_pretrained(base_model, "ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1")

Built with Axolotl

SpringDragon-NeMo-Instruct-QLoRA-ep1

This model is a fine-tuned version of mistralai/Mistral-Nemo-Instruct-2407 on the SpringDragon dataset.

Completion format. User instructions are given with >.

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 6
  • eval_batch_size: 6
  • seed: 111
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 20
  • num_epochs: 1

Framework versions

  • PEFT 0.11.1
  • Transformers 4.44.0.dev0
  • Pytorch 2.3.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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Base model

mistralai/Mistral-Nemo-Base-2407
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mistralai/Mistral-Nemo-Instruct-2407
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