Summary_L3_150steps_1e6rate_01beta_CSFTDPO – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
Summary_L3_150steps_1e6rate_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_1e6rate_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: 0.5961
Rewards/chosen: -0.0077
Rewards/rejected: -1.5938
Rewards/accuracies: 0.1400
Rewards/margins: 1.5861
Logps/rejected: -31.2014
Logps/chosen: -9.4593
Logits/rejected: -1.2000
Logits/chosen: -1.1980

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: 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
0.571	0.2004	50	0.5986	0.0271	-0.6059	0.1400	0.6329	-21.3224	-9.1122	-1.1153	-1.1163
0.6585	0.4008	100	0.5962	0.0177	-1.2883	0.1400	1.3060	-28.1472	-9.2058	-1.1739	-1.1725
0.6238	0.6012	150	0.5961	-0.0077	-1.5938	0.1400	1.5861	-31.2014	-9.4593	-1.2000	-1.1980

Framework versions

Transformers 4.41.2
Pytorch 2.0.0+cu117
Datasets 2.20.0
Tokenizers 0.19.1