This model is a fine-tuned version of tsavage68/Na_L3_100steps_1e6rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Rewards/chosen: 1.5811
Rewards/rejected: -11.1723
Rewards/accuracies: 1.0
Rewards/margins: 12.7534
Logps/rejected: -63.8463
Logps/chosen: -21.7279
Logits/rejected: -0.9556
Logits/chosen: -0.8877

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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.0	0.2667	50	0.0000	1.3180	-9.6006	1.0	10.9185	-60.7028	-22.2542	-0.9556	-0.8883
0.0	0.5333	100	0.0000	1.5811	-11.1723	1.0	12.7534	-63.8463	-21.7279	-0.9556	-0.8877

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

tsavage68/Na_L3_100steps_1e6rate_05beta_cSFTDPO

Na_L3_100steps_1e6rate_05beta_cSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsavage68/
Na_L3_100steps_1e6rate_05beta_cSFTDPO