selfbiorag-7b-wo-kqa_golden-iter-dpo-step2 – AI Model by Minbyul | AlphaNeural AI

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Minbyul/
selfbiorag-7b-wo-kqa_golden-iter-dpo-step2

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text-generation

alignment-handbook

generated_from_trainer

HuggingFaceH4/ultrafeedback_binarized

Minbyul/selfbiorag-7b-wo-kqa_golden-iter-sft-step1

autotrain_compatible

text-generation-inference

endpoints_compatible

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selfbiorag-7b-wo-kqa_golden-iter-dpo-step2

This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-kqa_golden-iter-sft-step1 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.4028
Rewards/chosen: -1.3389
Rewards/rejected: -4.1640
Rewards/accuracies: 0.7344
Rewards/margins: 2.8251
Logps/rejected: -858.1113
Logps/chosen: -368.7221
Logits/rejected: -0.8026
Logits/chosen: -1.0600

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
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

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.139	0.62	100	0.3923	-1.1034	-3.4359	0.7422	2.3325	-785.2989	-345.1770	-0.8936	-1.1380

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.15.2