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sfulay/
zephyr-7b-dpo-full-ultrabin-high-bleu

Name: zephyr-7b-dpo-full-ultrabin-high-bleu
Availability: InStock

generated_from_trainer

HuggingFaceH4/ultrafeedback_binarized

alignment-handbook/zephyr-7b-sft-full

finetune

apache-2.0

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zephyr-7b-dpo-full-ultrabin-high-bleu

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:

Loss: 0.6241
Rewards/chosen: -0.3064
Rewards/rejected: -0.5567
Rewards/accuracies: 0.6953
Rewards/margins: 0.2502
Logps/rejected: -318.3273
Logps/chosen: -293.2705
Logits/rejected: -2.3523
Logits/chosen: -2.3967

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: 8
eval_batch_size: 8
seed: 55
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 64
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
0.6598	0.3484	50	0.6515	-0.1096	-0.2344	0.6602	0.1248	-286.0998	-273.5854	-2.5008	-2.5392
0.6378	0.6969	100	0.6302	-0.3350	-0.5719	0.6875	0.2369	-319.8471	-296.1287	-2.3948	-2.4383

Framework versions

Transformers 4.44.0.dev0
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

sfulay/zephyr-7b-dpo-full-ultrabin-high-bleu

zephyr-7b-dpo-full-ultrabin-high-bleu

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sfulay/
zephyr-7b-dpo-full-ultrabin-high-bleu