IKEA-7b-UFB-0 – AI Model by weijie210 | AlphaNeural AI

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weijie210/
IKEA-7b-UFB-0

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text-generation

generated_from_trainer

weijie210/zephyr-UFB-7b-sft

autotrain_compatible

text-generation-inference

endpoints_compatible

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IKEA-7b-UFB-0

This model is a fine-tuned version of weijie210/zephyr-UFB-7b-sft on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0776
Rewards/chosen: -6.9486
Rewards/rejected: -22.9186
Rewards/accuracies: 0.9583
Rewards/margins: 15.9701
Logps/rejected: -316.0304
Logps/chosen: -200.6633
Logits/rejected: -2.8329
Logits/chosen: -2.8989

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: 4
total_train_batch_size: 16
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
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
0.1091	0.53	500	0.2325	-3.8178	-23.3989	0.9583	19.5811	-320.8331	-169.3557	-2.8725	-2.9272
0.0336	1.06	1000	0.0688	-5.4221	-18.0263	0.9722	12.6042	-267.1074	-185.3986	-2.8786	-2.9367
0.0247	1.59	1500	0.0597	-5.4161	-19.3860	0.9444	13.9699	-280.7044	-185.3390	-2.8687	-2.9293

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.16.1
Tokenizers 0.15.0