metadata

library_name: peft
license: other
base_model: openthaigpt/openthaigpt1.5-7b-instruct
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: kto_law_7b
    results: []

kto_law_7b

This model is a fine-tuned version of openthaigpt/openthaigpt1.5-7b-instruct on the law_th_kto dataset. It achieves the following results on the evaluation set:

Loss: 0.5288
Rewards/chosen: 2.6834
Logps/chosen: -142.3163
Kl: 28.1784

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-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
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: 3.0

Training results

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1