gemma-2b-fine_tuned

This model is a fine-tuned version of google/gemma-2b on the databricks/databricks-dolly-15k 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: 5e-05
• train_batch_size: 24
• eval_batch_size: 8
• seed: 42
• distributed_type: tpu
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.41.1
• Pytorch 2.4.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1