This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_l0_new_step10_0_40 dataset. It achieves the following results on the evaluation set:

Loss: 0.5324
Rewards/chosen: 1.2557
Rewards/rejected: -1.3879
Rewards/accuracies: 0.8073
Rewards/margins: 2.6437
Logps/rejected: -236.0845
Logps/chosen: -247.5159
Logits/rejected: -2.4707
Logits/chosen: -2.4992

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-06
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
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5653	0.9346	50	0.5525	0.9593	-0.6801	0.7656	1.6394	-229.0063	-250.4805	-2.5530	-2.5697
0.2953	1.8692	100	0.5387	1.1507	-1.3892	0.8229	2.5398	-236.0967	-248.5665	-2.5532	-2.5732
0.1521	2.8037	150	0.5318	1.2562	-1.3891	0.8073	2.6453	-236.0965	-247.5115	-2.4707	-2.4993

Framework versions

Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.3

htlou/backup_0202_llamafactory_AA_preference_l0_new_step10_0_40-llava-mistral

AA_preference_l0_new_step10_0_40

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

htlou/
backup_0202_llamafactory_AA_preference_l0_new_step10_0_40-llava-mistral