Llama2-SFT-AIBE-silver-v1

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.6213
• eval_runtime: 34.7227
• eval_samples_per_second: 1.814
• eval_steps_per_second: 0.23
• epoch: 6.35
• step: 400

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 10

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.13.3