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: 0.0086
Rewards/chosen: -1.2523
Rewards/rejected: -14.7999
Rewards/accuracies: 0.9900
Rewards/margins: 13.5476
Logps/rejected: -211.1941
Logps/chosen: -45.0020
Logits/rejected: -1.7169
Logits/chosen: -1.6585

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-05
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
0.0002	0.6667	50	0.0072	0.7766	-13.0912	0.9900	13.8678	-194.1069	-24.7133	-1.5529	-1.4952
0.0173	1.3333	100	0.0086	-1.2523	-14.7999	0.9900	13.5476	-211.1941	-45.0020	-1.7169	-1.6585

Framework versions

Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.19.2
Tokenizers 0.19.1

tsavage68/UTI_L3_100steps_1e5rate_03beta_CSFTDPO

UTI_L3_100steps_1e5rate_03beta_CSFTDPO

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsavage68/
UTI_L3_100steps_1e5rate_03beta_CSFTDPO