This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_math and the data/ui_coding datasets.
It achieves the following results on the evaluation set:
Loss: 0.3968
Rewards/chosen: -1.5087
Rewards/rejected: -3.7229
Rewards/accuracies: 0.7812
Rewards/margins: 2.2142
Logps/rejected: -740.7106
Logps/chosen: -538.8605
Logits/rejected: -2.5209
Logits/chosen: -2.5392
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: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 1024
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
