llama-ultrachat

This model is a fine-tuned version of huggyllama/llama-7b on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.9400

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• total_train_batch_size: 128
• total_eval_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9384	1.0	1144	0.9400

Framework versions

• Transformers 4.36.2
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.0