This model is a fine-tuned version of hZzy/qwen2.5-3b-sft3-25-2 on the hZzy/train_pairwise_all_new4 dataset. It achieves the following results on the evaluation set:

Loss: 0.4745
Objective: 0.4683
Reward Accuracy: 0.6228
Logp Accuracy: 0.6055
Log Diff Policy: 6.6940
Chosen Logps: -92.7974
Rejected Logps: -99.4915
Chosen Rewards: -0.2833
Rejected Rewards: -0.3471
Logits: -1.2886

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: 1e-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 12
total_train_batch_size: 72
total_eval_batch_size: 6
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Objective	Reward Accuracy	Logp Accuracy	Log Diff Policy	Chosen Logps	Rejected Logps	Chosen Rewards	Rejected Rewards	Logits
0.5438	0.1577	200	0.5090	0.5094	0.5266	0.5210	0.9004	-73.2070	-74.1074	-0.0874	-0.0932	-0.8639
0.4885	0.3154	400	0.4999	0.5020	0.5579	0.5546	1.9614	-78.4734	-80.4348	-0.1400	-0.1565	-0.9730
0.4875	0.4731	600	0.4911	0.4929	0.5741	0.5641	3.4973	-92.2967	-95.7940	-0.2783	-0.3101	-1.0447
0.4575	0.6308	800	0.4835	0.4798	0.5976	0.5965	5.5421	-94.7561	-100.2982	-0.3029	-0.3551	-1.1891
0.4794	0.7885	1000	0.4771	0.4715	0.6139	0.5976	6.4893	-98.6883	-105.1776	-0.3422	-0.4039	-1.2019
0.4268	0.9462	1200	0.4757	0.4708	0.6161	0.5965	6.4884	-94.2826	-100.7710	-0.2981	-0.3599	-1.2718

Framework versions

Transformers 4.42.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.19.1

hZzy/qwen2.5-3b-expo-L2EXPO-25-3b-1

qwen2.5-3b-expo-L2EXPO-25-3b-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hZzy/
qwen2.5-3b-expo-L2EXPO-25-3b-1