This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_cosi_new_step10_0_30 dataset. It achieves the following results on the evaluation set:

Loss: 0.5883
Rewards/chosen: 1.9964
Rewards/rejected: -0.3785
Rewards/accuracies: 0.8403
Rewards/margins: 2.3750
Logps/rejected: -233.2932
Logps/chosen: -249.7375
Logits/rejected: -2.2233
Logits/chosen: -2.2292

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
0.2594	1.2422	50	0.5902	1.6739	-0.2014	0.7986	1.8753	-231.5221	-252.9634	-2.2944	-2.2956
0.1658	2.4845	100	0.5874	2.0247	-0.3441	0.8333	2.3688	-232.9490	-249.4547	-2.2372	-2.2420

Framework versions

Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.3

htlou/mm-interp-AA_preference_cosi_new_step10_0_30

AA_preference_cosi_new_step10_0_30

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

htlou/
mm-interp-AA_preference_cosi_new_step10_0_30