llama-3.1-person-infos

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

• Loss: 0.7498

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
0.8272	0.2	384	0.9914
1.1294	0.4	768	0.9068
1.2667	0.6	1152	0.8687
0.3897	0.8	1536	0.7611
0.3214	1.0	1920	0.7498

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.1.2
• Datasets 2.21.0
• Tokenizers 0.19.1