llama-2-7b-nsmc

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.

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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

TrainOutput(global_step=2000, training_loss=0.5080581178665161, metrics={'train_runtime': 7559.6157, 'train_samples_per_second': 0.529,
'train_steps_per_second': 0.265, 'total_flos': 8.1436656795648e+16, 'train_loss': 0.5080581178665161, 'epoch': 2.0})

정확도

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0