This model is a fine-tuned version of VietAI/gpt-neo-1.3B-vietnamese-news on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0732

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: 2
gradient_accumulation_steps: 512
total_train_batch_size: 1024
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0784	1.0	792	1.0781
1.0578	1.1	872	1.0732

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2

thangvip/vimo-1.3B

vimo-1.3B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thangvip/
vimo-1.3B