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BBexist/
llama3.2-1B-dpo

Name: llama3.2-1B-dpo
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.2-1B-Instruct

adapter

llama3.2

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llama3.2-1B-dpo

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7077
Rewards/chosen: -7.1636
Rewards/rejected: -9.0302
Rewards/accuracies: 0.4015
Rewards/margins: 1.8666
Logps/rejected: -197.2289
Logps/chosen: -195.0906
Logits/rejected: 0.2668
Logits/chosen: 0.3537

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-05
train_batch_size: 6
eval_batch_size: 4
seed: 42
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
0.6114	0.3817	700	0.8334	-7.6439	-9.5517	0.3914	1.9077	-202.4431	-199.8938	0.4338	0.5238
0.6772	0.7634	1400	0.7077	-7.1636	-9.0302	0.4015	1.8666	-197.2289	-195.0906	0.2668	0.3537

Framework versions

PEFT 0.8.2
Transformers 4.45.1
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.20.0

BBexist/llama3.2-1B-dpo

llama3.2-1B-dpo

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BBexist/
llama3.2-1B-dpo