Llama-3.1-8B-Instruct-EI2-2ep-sft-fix

This model is a fine-tuned version of qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1677

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: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 64
• total_train_batch_size: 64
• total_eval_batch_size: 512
• 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	0.5814	100	0.1754
No log	1.1628	200	0.1733
No log	1.7442	300	0.1677

Framework versions

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