README.md

metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
  - pytorch
  - Mistral
base_model: mistralai/Mistral-7B-v0.1
model-index:
  - name: fennec-7b-alpha
    results: []
datasets:
  - HuggingFaceH4/ultrachat_200k
  - openbmb/UltraFeedback
  - gsm8k
language:
  - en
pipeline_tag: text-generation

fennec-7b-alpha

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on ultrachat_200k, UltraFeedback, and gsm8k datasets.

Model description

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 using supervised fine-tuning on nearly the same datasets as Zephyr-7B-beta.

Training and evaluation data

The evaluation for training can be found here.

The evaluation can be found at the Hugging Face Leaderboard here.

Training procedure

Can be found here.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 7
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 14
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 500

Training results

Framework versions

• PEFT 0.8.2
• Transformers 4.38.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1