metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: tiiuae/falcon-7b
model-index:
  - name: saqr-7b-instruct
    results: []
datasets:
  - HuggingFaceH4/ultrachat_200k
  - openbmb/UltraFeedback
  - gsm8k

saqr-7b-instruct

This model is a fine-tuned version of tiiuae/falcon-7b on the None 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: 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: 5000

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