metadata

license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
base_model: Gryphe/MythoMax-L2-13b
model-index:
  - name: mythomax-7b-sft-qlora
    results: []

mythomax-7b-sft-qlora

This model is a fine-tuned version of Gryphe/MythoMax-L2-13b on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.8894

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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 8
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

Training Loss	Epoch	Step	Validation Loss
0.8947	1.0	696	0.8894

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.15.0