metadata

license: gemma
base_model: google/gemma-2-2b
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: 0R-128F-gemma-2-2b_hs2_iter1_sftsd1
    results: []

0R-128F-gemma-2-2b_hs2_iter1_sftsd1

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

Loss: 1.3956
Num Input Tokens Seen: 57472

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: 8e-06
train_batch_size: 8
eval_batch_size: 16
seed: 1
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Input Tokens Seen
No log	0	0	1.3956	0

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1