This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_cocour_new_step10_0_30 dataset. It achieves the following results on the evaluation set:

Loss: 0.5532
Rewards/chosen: 1.6544
Rewards/rejected: -1.2534
Rewards/accuracies: 0.8056
Rewards/margins: 2.9078
Logps/rejected: -252.7311
Logps/chosen: -241.2080
Logits/rejected: -2.0966
Logits/chosen: -2.1262

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
0.2648	1.2422	50	0.5693	2.0296	-0.4936	0.8125	2.5232	-245.1335	-237.4563	-2.3209	-2.3384
0.1487	2.4845	100	0.5524	1.6519	-1.2519	0.8125	2.9039	-252.7170	-241.2330	-2.0940	-2.1241

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_cocour_new_step10_0_30-llava-mistral

AA_preference_cocour_new_step10_0_30

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

htlou/
backup_0202_llamafactory_AA_preference_cocour_new_step10_0_30-llava-mistral