This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_cocour_new_step10_0_50 dataset. It achieves the following results on the evaluation set:

Loss: 0.5010
Rewards/chosen: 1.1422
Rewards/rejected: -1.7885
Rewards/accuracies: 0.8583
Rewards/margins: 2.9307
Logps/rejected: -214.9074
Logps/chosen: -264.3012
Logits/rejected: -2.0474
Logits/chosen: -2.1072

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
0.6039	0.7463	50	0.5475	1.3230	-0.4024	0.8167	1.7254	-201.0464	-262.4934	-2.4300	-2.4488
0.2811	1.4925	100	0.5121	1.3770	-1.3342	0.8542	2.7112	-210.3646	-261.9533	-1.9351	-2.0044
0.1518	2.2388	150	0.5044	1.4880	-1.2566	0.8542	2.7446	-209.5883	-260.8434	-2.0397	-2.0982
0.1381	2.9851	200	0.5010	1.1421	-1.7916	0.8583	2.9338	-214.9391	-264.3022	-2.0472	-2.1071

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_50-llava-mistral

AA_preference_cocour_new_step10_0_50

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_50-llava-mistral