Summary_L3_150steps_1e8rate_01beta_CSFTDPO – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
Summary_L3_150steps_1e8rate_01beta_CSFTDPO

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text-generation

generated_from_trainer

tsavage68/Summary_L3_1000steps_1e7rate_SFT2

autotrain_compatible

text-generation-inference

endpoints_compatible

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Summary_L3_150steps_1e8rate_01beta_CSFTDPO

This model is a fine-tuned version of tsavage68/Summary_L3_1000steps_1e7rate_SFT2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6919
Rewards/chosen: 0.0011
Rewards/rejected: -0.0016
Rewards/accuracies: 0.0800
Rewards/margins: 0.0027
Logps/rejected: -15.2799
Logps/chosen: -9.3721
Logits/rejected: -1.0959
Logits/chosen: -1.0973

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-08
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
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: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.6914	0.2004	50	0.6919	0.0004	-0.0022	0.0900	0.0026	-15.2856	-9.3787	-1.0954	-1.0968
0.6938	0.4008	100	0.6918	0.0000	-0.0027	0.1050	0.0027	-15.2908	-9.3826	-1.0961	-1.0975
0.6936	0.6012	150	0.6919	0.0011	-0.0016	0.0800	0.0027	-15.2799	-9.3721	-1.0959	-1.0973

Framework versions

Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.20.0
Tokenizers 0.19.1