llama_3_o1_25_full – AI Model by CharlesLi | AlphaNeural AI

You can deploy this model and start earning money today!

CharlesLi/
llama_3_o1_25_full

like

0

text-generation

alignment-handbook

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

llama_3_o1_25_full

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6199

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
0.7972	0.1649	100	0.7222
0.7534	0.3298	200	0.7035
0.7338	0.4946	300	0.6694
0.6967	0.6595	400	0.6428
0.6742	0.8244	500	0.6250
0.6506	0.9893	600	0.6197

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1