metadata

license: gemma
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-7b-it
model-index:
  - name: outputs
    results: []

outputs

This model is a fine-tuned version of google/gemma-7b-it on an unknown 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: 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: 0.1
training_steps: 1000
mixed_precision_training: Native AMP

Framework versions

PEFT 0.8.2
Transformers 4.39.0
Pytorch 2.1.2
Datasets 2.17.0
Tokenizers 0.15.2