metadata

license: gemma
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: google/gemma-1.1-2b-it
model-index:
  - name: gemma-2b-it-sft-vi-alpaca
    results: []

gemma-2b-it-sft-vi-alpaca

This model is a fine-tuned version of google/gemma-1.1-2b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6500

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.152	0.9999	5000	0.6500

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1