Edit model card

Gemma-7B-It-ORPO

This model is a fine-tuned version of google/gemma-7b-it on the dpo_mix_en dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3471
  • Rewards/chosen: -0.1281
  • Rewards/rejected: -0.1500
  • Rewards/accuracies: 0.5610
  • Rewards/margins: 0.0219
  • Logps/rejected: -1.5004
  • Logps/chosen: -1.2814
  • Logits/rejected: 254.6614
  • Logits/chosen: 254.4679
  • Sft Loss: 1.2814
  • Odds Ratio Loss: 0.6571

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 0.1
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen Sft Loss Odds Ratio Loss
1.5041 0.8891 500 1.4185 -0.1352 -0.1564 0.5530 0.0212 -1.5644 -1.3522 250.7549 250.6463 1.3522 0.6626
1.428 1.7782 1000 1.3595 -0.1294 -0.1509 0.5600 0.0215 -1.5091 -1.2937 254.1350 253.9581 1.2937 0.6586
1.3302 2.6673 1500 1.3471 -0.1281 -0.1500 0.5610 0.0219 -1.5004 -1.2814 254.6614 254.4679 1.2814 0.6571

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for chchen/Gemma-7B-It-ORPO

Base model

google/gemma-7b
Finetuned
google/gemma-7b-it
Adapter
(73)
this model