CodeLLAMA3-8BI-300APPS

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8161

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: 5e-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
0.8319	0.1667	50	0.8777
0.8227	0.3333	100	0.8417
0.7556	0.5	150	0.8246
0.7674	0.6667	200	0.8183
0.8084	0.8333	250	0.8164
0.7494	1.0	300	0.8161

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1