starchat2-15b-dpo-v0.1 – AI Model by li-muyang | AlphaNeural AI

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li-muyang/
starchat2-15b-dpo-v0.1

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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starchat2-15b-dpo-v0.1

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

Loss: 0.4343
Rewards/chosen: -1.1086
Rewards/rejected: -3.1181
Rewards/accuracies: 0.7785
Rewards/margins: 2.0095
Logps/rejected: -330.6774
Logps/chosen: -321.5190
Logits/rejected: -1.9859
Logits/chosen: -2.0084

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: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 32
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
0.4811	0.9996	574	0.4443	-0.7694	-2.4115	0.7658	1.6421	-316.5446	-314.7338	-1.9984	-2.0208
0.4589	1.9991	1148	0.4343	-1.1086	-3.1181	0.7785	2.0095	-330.6774	-321.5190	-1.9859	-2.0084

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+rocm6.2
Datasets 3.5.0
Tokenizers 0.20.3