zephyr-7b-dpo-full_sft2epoch – AI Model by dlibf | AlphaNeural AI

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dlibf/
zephyr-7b-dpo-full_sft2epoch

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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zephyr-7b-dpo-full_sft2epoch

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6211
Rewards/chosen: -1.4941
Rewards/rejected: -1.7515
Rewards/accuracies: 0.625
Rewards/margins: 0.2573
Logps/rejected: -1191.0941
Logps/chosen: -1275.2760
Logits/rejected: -3.7499
Logits/chosen: -3.7463

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: 42
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
0.6596	0.21	100	0.6582	-0.3306	-0.4516	0.6172	0.1209	-1061.1038	-1158.9254	-3.8934	-3.8869
0.6329	0.42	200	0.6346	-0.8973	-1.0821	0.6172	0.1848	-1124.1610	-1215.5958	-3.8301	-3.8271
0.6282	0.63	300	0.6261	-1.3758	-1.6045	0.6172	0.2287	-1176.3937	-1263.4438	-3.7836	-3.7816
0.6216	0.84	400	0.6214	-1.5153	-1.7774	0.6562	0.2621	-1193.6827	-1277.3909	-3.7427	-3.7397

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.1