llama-guanaco-7b-ingbetic

This model is a fine-tuned version of decapoda-research/llama-7b-hf on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.0322
• eval_runtime: 65.492
• eval_samples_per_second: 27.973
• eval_steps_per_second: 3.497
• epoch: 0.12
• step: 80

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: 8
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• training_steps: 100

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.12.1.dev0
• Tokenizers 0.13.3