metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - dpo
  - generated_from_trainer
base_model: cognitivecomputations/dolphin-2.1-mistral-7b
model-index:
  - name: doplhin-dpo-1-epoch
    results: []

doplhin-dpo-1-epoch

This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6046
Rewards/chosen: -6.6173
Rewards/rejected: -10.5237
Rewards/accuracies: 0.7880
Rewards/margins: 3.9064
Logps/rejected: -431.3049
Logps/chosen: -422.0936
Logits/rejected: -2.5993
Logits/chosen: -2.6739

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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
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: 0.1
num_epochs: 0.9

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5544	0.62	700	0.6046	-6.6173	-10.5237	0.7880	3.9064	-431.3049	-422.0936	-2.5993	-2.6739

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.2