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ty1413/
net_zero_target_identifier1

generated_from_trainer

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

adapter

llama3.1

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net_zero_target_identifier1

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

Loss: 0.4575

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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.768	0.1998	114	0.4877
0.3274	0.3996	228	0.4774
0.1934	0.5995	342	0.4659
0.7431	0.7993	456	0.4614
0.08	0.9991	570	0.4575

Framework versions

PEFT 0.12.0
Transformers 4.43.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

ty1413/net_zero_target_identifier1

net_zero_target_identifier1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ty1413/
net_zero_target_identifier1