gemma_cause_FT

This model is a fine-tuned version of google/gemma-7b-it on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: nan
• eval_runtime: 223.726
• eval_samples_per_second: 4.434
• eval_steps_per_second: 4.434
• epoch: 9.0
• step: 4464

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: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 10
• mixed_precision_training: Native AMP

Framework versions

• PEFT 0.8.2
• Transformers 4.41.1
• Pytorch 1.13.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1