This model is a fine-tuned version of tsavage68/UTI_M2_1000steps_1e5rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1279
Rewards/chosen: 0.8248
Rewards/rejected: -2.3490
Rewards/accuracies: 0.9000
Rewards/margins: 3.1737
Logps/rejected: -51.9960
Logps/chosen: -17.5453
Logits/rejected: -3.8211
Logits/chosen: -3.7455

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-07
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: 125

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6941	0.3333	25	0.6798	0.0045	-0.0228	0.7100	0.0273	-44.2422	-20.2796	-3.8170	-3.7449
0.5941	0.6667	50	0.5344	0.0703	-0.3106	0.8900	0.3808	-45.2014	-20.0603	-3.8170	-3.7449
0.3961	1.0	75	0.3186	0.2704	-0.9924	0.9000	1.2628	-47.4743	-19.3933	-3.8191	-3.7463
0.1235	1.3333	100	0.1814	0.5489	-1.9964	0.9000	2.5452	-50.8207	-18.4649	-3.8226	-3.7485
0.1123	1.6667	125	0.1279	0.8248	-2.3490	0.9000	3.1737	-51.9960	-17.5453	-3.8211	-3.7455

Framework versions

Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.19.2
Tokenizers 0.19.1

tsavage68/UTI_M2_125steps_1e7rate_03beta_CSFTDPO

UTI_M2_125steps_1e7rate_03beta_CSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsavage68/
UTI_M2_125steps_1e7rate_03beta_CSFTDPO