This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_logic dataset.
It achieves the following results on the evaluation set:
Loss: 0.6931
Rewards/chosen: 0.0
Rewards/rejected: 0.0
Rewards/accuracies: 0.0
Rewards/margins: 0.0
Logps/rejected: -98.5013
Logps/chosen: -174.8483
Logits/rejected: -2.1785
Logits/chosen: -2.4442
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-07
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 256
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
