This model is a fine-tuned version of tsavage68/chat_600STEPS_1e8rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6793
Rewards/chosen: -0.0623
Rewards/rejected: -0.1009
Rewards/accuracies: 0.4945
Rewards/margins: 0.0386
Logps/rejected: -19.1383
Logps/chosen: -16.9623
Logits/rejected: -0.5997
Logits/chosen: -0.5996

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-07
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6938	0.0977	50	0.6926	0.0099	0.0081	0.4242	0.0018	-18.7749	-16.7215	-0.5989	-0.5987
0.6799	0.1953	100	0.6850	-0.0283	-0.0476	0.4769	0.0194	-18.9607	-16.8488	-0.6017	-0.6016
0.6902	0.2930	150	0.6833	-0.0843	-0.1125	0.4725	0.0281	-19.1769	-17.0358	-0.6005	-0.6004
0.6881	0.3906	200	0.6808	-0.0590	-0.0933	0.4835	0.0343	-19.1129	-16.9512	-0.5994	-0.5993
0.6919	0.4883	250	0.6812	-0.0623	-0.0971	0.4989	0.0348	-19.1258	-16.9623	-0.6003	-0.6001
0.6828	0.5859	300	0.6793	-0.0623	-0.1009	0.4945	0.0386	-19.1383	-16.9623	-0.5997	-0.5996

Framework versions

Transformers 4.40.1
Pytorch 2.0.0+cu117
Datasets 2.19.1
Tokenizers 0.19.1

tsavage68/chat_300_STEPS_03beta_5e7rate_CDPOSFT

chat_300_STEPS_03beta_5e7rate_CDPOSFT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tsavage68/
chat_300_STEPS_03beta_5e7rate_CDPOSFT