This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the Compcap_cosi_0_40 dataset. It achieves the following results on the evaluation set:

Loss: 0.8345

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
0.9333	0.3384	50	0.9388
0.8736	0.6768	100	0.8821
0.8459	1.0152	150	0.8576
0.7682	1.3536	200	0.8485
0.7797	1.6920	250	0.8385
0.7246	2.0305	300	0.8337
0.7082	2.3689	350	0.8360
0.7007	2.7073	400	0.8346

Framework versions

Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.20.3

htlou/backup_0202_llamafactory_Compcap_cosi_0_40-llava-mistral

Compcap_cosi_0_40

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

htlou/
backup_0202_llamafactory_Compcap_cosi_0_40-llava-mistral