Vishaltiwari2019
/

gemma-tf-dolly

Text Generation

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gemma-tf-dolly

This model is a fine-tuned version of google/gemma-2b on the generator 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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Framework versions

PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

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Text Generation

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Base model

google/gemma-2b

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Dataset used to train Vishaltiwari2019/gemma-tf-dolly

Evaluation results

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