You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

outputs

This model is a fine-tuned version of google/gemma-7b on gnumanth/gita dataset.

Model description

Experimental fine tune gemma-7b model

Intended uses & limitations

Gita interpretation, no limitations.

Training procedure

SFTTrainer

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 10
mixed_precision_training: Native AMP

Training results

TrainOutput(global_step=10, training_loss=0.5232708215713501, metrics={'train_runtime': 13.8846, 'train_samples_per_second': 2.881, 'train_steps_per_second': 0.72, 'total_flos': 55989006336000.0, 'train_loss': 0.5232708215713501, 'epoch': 10.0})

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Downloads last month: -

Model tree for gnumanth/gemma-gita

Base model

google/gemma-7b

Adapter

(9194)

this model

gnumanth
/

gemma-gita