experiments

This model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.3489
• eval_runtime: 9.7593
• eval_samples_per_second: 20.493
• eval_steps_per_second: 2.562
• epoch: 7.7859
• step: 100

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 100
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.40.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.15.2