Meta-Llama-3-8B-Instruct-Generator-logging

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

• Loss: 8.7282

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
8.8053	0.3048	100	8.7435
8.7302	0.6095	200	8.7357
8.7245	0.9143	300	8.7328
8.7318	1.2190	400	8.7317
8.7181	1.5238	500	8.7304
8.7227	1.8286	600	8.7295
8.724	2.1333	700	8.7291
8.7203	2.4381	800	8.7286
8.7167	2.7429	900	8.7282

Framework versions

• PEFT 0.10.0
• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.14.7
• Tokenizers 0.19.1