Llama-3.1-8B-Instruct-EI1-120K-fix-32gpus-08

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

• Loss: 0.4171

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: 6e-06
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 32
• total_train_batch_size: 64
• total_eval_batch_size: 256
• optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.3650	100	0.5246
No log	0.7299	200	0.4631
No log	1.0949	300	0.4346
No log	1.4599	400	0.4217
0.4699	1.8248	500	0.4171

Framework versions

• Transformers 4.43.4
• Pytorch 2.4.0+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1