LawBuddy
Collection
2 items • Updated
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
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Model tree for betteracs/lawbuddy-7b
Base model
openthaigpt/openthaigpt1.5-7b-instruct