This model is a fine-tuned version of ByteDance-Seed/UI-TARS-1.5-7B on the ui_tars_sft_data dataset. It achieves the following results on the evaluation set:

Loss: 0.0120

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-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0517	1.0	280	0.0290
0.0092	2.0	560	0.0136
0.0103	3.0	840	0.0120

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.0.2
Tokenizers 0.21.1

aylinakkus/ui-tars-1.5-7b-idm-full-sft

ui-tars-1.5-7b-idm-full-sft

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

aylinakkus/
ui-tars-1.5-7b-idm-full-sft