This model is a fine-tuned version of tsavage68/UTI_L3_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0237
Rewards/chosen: 0.8548
Rewards/rejected: -5.3505
Rewards/accuracies: 0.9900
Rewards/margins: 6.2052
Logps/rejected: -116.6992
Logps/chosen: -23.9313
Logits/rejected: -1.3741
Logits/chosen: -1.3452

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: 1e-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 75

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6578	0.3333	25	0.5571	0.0522	-0.2527	0.9800	0.3049	-65.7218	-31.9573	-1.3240	-1.3090
0.2092	0.6667	50	0.1456	0.3413	-2.3069	0.9900	2.6482	-86.2635	-29.0656	-1.3332	-1.3147
0.0259	1.0	75	0.0237	0.8548	-5.3505	0.9900	6.2052	-116.6992	-23.9313	-1.3741	-1.3452

Framework versions

Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.19.2
Tokenizers 0.19.1

tsavage68/UTI_L3_75steps_1e6rate_01beta_CSFTDPO

UTI_L3_75steps_1e6rate_01beta_CSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsavage68/
UTI_L3_75steps_1e6rate_01beta_CSFTDPO