This model is a fine-tuned version of openthaigpt/openthaigpt1.5-14b-instruct on the law_th_kto dataset.
It achieves the following results on the evaluation set:
Loss: 0.5569
Rewards/chosen: 2.2727
Logps/chosen: -127.1557
Kl: 25.3337
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
