zephyr-7b-gemma-dpo – AI Model by li-muyang | AlphaNeural AI

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li-muyang/
zephyr-7b-gemma-dpo

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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zephyr-7b-gemma-dpo

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5287
Rewards/chosen: 0.4753
Rewards/rejected: -0.1181
Rewards/accuracies: 0.7708
Rewards/margins: 0.5934
Logps/rejected: -326.4217
Logps/chosen: -277.1591
Logits/rejected: -1.3248
Logits/chosen: -1.3362

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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
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: 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
0.5532	0.9858	52	0.5591	0.4980	0.0692	0.7604	0.4288	-322.6760	-276.7043	-1.3205	-1.3316
0.4562	1.9716	104	0.5287	0.4753	-0.1181	0.7708	0.5934	-326.4217	-277.1591	-1.3248	-1.3362

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+rocm6.2
Datasets 3.2.0
Tokenizers 0.20.3