metadata

license: cc-by-nc-4.0
base_model: BramVanroy/GEITje-ultra-sft
tags:
  - alignment-handbook
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - BramVanroy/ultra_feedback_dutch
model-index:
  - name: GEITje-ultra-dpo-5e-7lr-128tbs-0.1b
    results: []

GEITje-ultra-dpo-5e-7lr-128tbs-0.1b

This model is a fine-tuned version of BramVanroy/GEITje-ultra-sft on the BramVanroy/ultra_feedback_dutch dataset. It achieves the following results on the evaluation set:

Loss: 0.0138
Rewards/chosen: -2.1351
Rewards/rejected: -13.8922
Rewards/accuracies: 0.9950
Rewards/margins: 11.7570
Logps/rejected: -565.1809
Logps/chosen: -519.8008
Logits/rejected: -3.0261
Logits/chosen: -2.9779

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-07
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.03	0.22	100	0.0260	-0.9740	-9.8635	0.9913	8.8895	-524.8940	-508.1891	-3.0753	-3.0315
0.0184	0.44	200	0.0164	-1.7162	-12.4772	0.9926	10.7610	-551.0317	-515.6115	-3.0349	-2.9873
0.0121	0.66	300	0.0142	-2.0575	-13.6818	0.9938	11.6244	-563.0778	-519.0242	-3.0325	-2.9835
0.0198	0.88	400	0.0139	-2.1431	-13.8857	0.9950	11.7426	-565.1163	-519.8801	-3.0293	-2.9801

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.0