This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the 2and3_apps_3k_v3 dataset. It achieves the following results on the evaluation set:

Loss: 0.1955

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: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 4
total_eval_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.2608	0.1370	100	0.2497
0.274	0.2740	200	0.2355
0.2185	0.4110	300	0.2248
0.2195	0.5479	400	0.2086
0.2278	0.6849	500	0.2014
0.1856	0.8219	600	0.1967
0.2109	0.9589	700	0.1956

Framework versions

Transformers 4.46.1
Pytorch 2.4.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3

cutelemonlili/Qwen-7B-instruct-2and3_apps_3k_v3

2and3_apps_3k_v3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cutelemonlili/
Qwen-7B-instruct-2and3_apps_3k_v3