metadata

license: apache-2.0
library_name: peft
tags:
  - trl
  - dpo
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
  - name: Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep
    results: []

Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_2ep

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3109
Rewards/chosen: 0.7129
Rewards/rejected: -1.3545
Rewards/accuracies: 0.8795
Rewards/margins: 2.0674
Logps/rejected: -373.3019
Logps/chosen: -422.7253
Logits/rejected: -0.2832
Logits/chosen: -0.1040

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.4052	1.0	103	0.3249	0.5808	-1.2724	0.8795	1.8532	-372.4805	-424.0459	-0.3089	-0.1139
0.1566	2.0	206	0.3109	0.7129	-1.3545	0.8795	2.0674	-373.3019	-422.7253	-0.2832	-0.1040

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1