metadata

library_name: transformers
license: gemma
base_model: google/gemma-2-9b
tags:
  - llama-factory
  - generated_from_trainer
model-index:
  - name: hp_ablations_gemma_scheduler_cosine_warmup0.05_minlr5e-7
    results: []

hp_ablations_gemma_scheduler_cosine_warmup0.05_minlr5e-7

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

Loss: 0.5908

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: 5e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 512
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_min_lr
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5939	0.9997	443	0.5920
0.5415	1.9994	886	0.5836
0.4941	2.9992	1329	0.5908

Framework versions

Transformers 4.46.1
Pytorch 2.3.0
Datasets 3.0.2
Tokenizers 0.20.3