metadata

base_model: google/gemma-2-2b
library_name: peft
license: gemma
tags:
  - generated_from_trainer
model-index:
  - name: gemma2-2b-oceanBench
    results: []
datasets:
  - zjunlp/OceanBench

gemma2-2b-oceanBench

This model is a fine-tuned version of google/gemma-2-2b on a zjunlp/OceanBench 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: 2
training_steps: 19
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1