This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_cosi_new_step10_0_40 dataset. It achieves the following results on the evaluation set:

Loss: 0.5665
Rewards/chosen: 1.7347
Rewards/rejected: -0.8858
Rewards/accuracies: 0.7969
Rewards/margins: 2.6205
Logps/rejected: -230.7836
Logps/chosen: -258.4571
Logits/rejected: -2.2696
Logits/chosen: -2.2821

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
0.5111	0.9346	50	0.5646	1.4841	-0.0695	0.7448	1.5536	-222.6201	-260.9629	-2.4587	-2.4679
0.2954	1.8692	100	0.5597	1.7109	-0.9040	0.7917	2.6149	-230.9650	-258.6947	-2.0402	-2.0607
0.1503	2.8037	150	0.5670	1.7345	-0.8860	0.7969	2.6204	-230.7849	-258.4590	-2.2699	-2.2824

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_40

AA_preference_cosi_new_step10_0_40

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_40