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: 0.7546

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
0.7593	0.7407	100	0.7660

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_llama_3_8B_reflect_1000_1000_full

llama_3_sky_safe_o1_llama_3_8B_reflect_1000_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_llama_3_8B_reflect_1000_1000_full