zephyr-6b-dpo-full – AI Model by dlibf | AlphaNeural AI

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dlibf/
zephyr-6b-dpo-full

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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zephyr-6b-dpo-full

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

Loss: 0.5676
Rewards/chosen: -0.5685
Rewards/rejected: -1.1091
Rewards/accuracies: 0.7305
Rewards/margins: 0.5407
Logps/rejected: -384.2899
Logps/chosen: -336.4684
Logits/rejected: -0.9166
Logits/chosen: -0.9852

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
0.6548	0.21	100	0.6548	-0.1060	-0.2092	0.6680	0.1032	-294.2936	-290.2218	-0.6577	-0.7018
0.5881	0.42	200	0.5968	-0.3050	-0.6575	0.6875	0.3525	-339.1259	-310.1252	-0.7415	-0.8023
0.5753	0.63	300	0.5734	-0.4917	-0.9768	0.7227	0.4851	-371.0564	-328.7914	-0.7579	-0.8263
0.5602	0.84	400	0.5689	-0.4964	-1.0157	0.7344	0.5193	-374.9490	-329.2605	-0.8579	-0.9263

Framework versions

Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.1