Llama-2-7b-chat-hf-ark-ft-2

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

• eval_loss: 0.1582
• eval_accuracy: 0.9587
• eval_precision: 0.9587
• eval_recall: 0.9587
• eval_f1: 0.9587
• eval_runtime: 270.3757
• eval_samples_per_second: 739.711
• eval_steps_per_second: 46.232
• epoch: 1.92
• step: 27053

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1