metadata

base_model: google/gemma-2-9b-it
library_name: peft
license: gemma
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: gemma2_9b_LORA_CS_text_AR_16_32_v2
    results: []

gemma2_9b_LORA_CS_text_AR_16_32_v2

This model is a fine-tuned version of google/gemma-2-9b-it on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8466

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 100
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.789	0.9989	225	0.8466

Framework versions

PEFT 0.12.1.dev0
Transformers 4.44.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1