This model is a fine-tuned version of saves/qwen2.5-1.5B-sample-dist-sft-en on the polyalign_hdpo_train dataset.
It achieves the following results on the evaluation set:
Loss: 0.3407
Rewards/chosen: -1.5331
Rewards/rejected: -5.1943
Rewards/accuracies: 0.9172
Rewards/margins: 3.6612
Logps/chosen: -273.2844
Logps/rejected: -162.0241
Logits/chosen: 0.7203
Logits/rejected: 0.7014
Hdpo/weight Mean: 1.0001
Hdpo/chosen Dist Score: 0.0313
Hdpo/rejected Dist Score: 0.0313
Hdpo/dist Gap: 0.0
Hdpo/dist Reg: 0.0313
Hdpo/online Reg: 0.0
Hdpo/sft Anchor: 1.9628
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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
