This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the AA_preference_Cherry_0_30 dataset. It achieves the following results on the evaluation set:

Loss: 0.5028
Rewards/chosen: 3.6010
Rewards/rejected: 0.2000
Rewards/accuracies: 0.875
Rewards/margins: 3.4010
Logps/rejected: -228.0410
Logps/chosen: -307.6524
Logits/rejected: -2.3391
Logits/chosen: -2.3614

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
0.474	0.9816	40	0.4699	3.1334	0.8359	0.8553	2.2975	-221.6830	-312.3291	-2.1664	-2.2103
0.1662	1.9632	80	0.5018	3.4522	0.2267	0.8618	3.2255	-227.7745	-309.1402	-2.3660	-2.3873
0.0328	2.9448	120	0.5028	3.6010	0.2000	0.875	3.4010	-228.0410	-307.6524	-2.3391	-2.3614

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_Cherry_0_30-llava-mistral

AA_preference_Cherry_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_Cherry_0_30-llava-mistral