This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.7107

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.829	0.1972	100	0.7897
0.7462	0.3945	200	0.7717
0.6837	0.5917	300	0.7426
0.6485	0.7890	400	0.7180
0.6244	0.9862	500	0.7108

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

CharlesLi/llama_3_sky_safe_o1_4o_default_4000_1000_full

llama_3_sky_safe_o1_4o_default_4000_1000_full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

CharlesLi/
llama_3_sky_safe_o1_4o_default_4000_1000_full