zephyr-7b-dpo-lora – AI Model by TrumpBiden | AlphaNeural AI

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TrumpBiden/
zephyr-7b-dpo-lora

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text-generation

generated_from_trainer

mistralai/Mistral-7B-v0.1

autotrain_compatible

text-generation-inference

endpoints_compatible

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zephyr-7b-dpo-lora

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5264
Rewards/chosen: -0.1560
Rewards/rejected: -0.9014
Rewards/accuracies: 0.7345
Rewards/margins: 0.7454
Logps/rejected: -232.6823
Logps/chosen: -266.1183
Logits/rejected: -1.9666
Logits/chosen: -2.0208

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
gradient_accumulation_steps: 32
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.5648	1.0	968	0.5548	-0.1107	-0.6467	0.7115	0.5360	-230.1347	-265.6653	-2.0150	-2.0685
0.5563	2.0	1936	0.5313	-0.1530	-0.8621	0.7315	0.7091	-232.2889	-266.0887	-1.9774	-2.0312
0.5172	3.0	2904	0.5264	-0.1560	-0.9014	0.7345	0.7454	-232.6823	-266.1183	-1.9666	-2.0208

Framework versions

Transformers 4.35.0
Pytorch 2.1.1+cu121
Datasets 2.14.6
Tokenizers 0.14.1