Summary4500_M2_50steps_1e7rate_03beta_CSFTDPO – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
Summary4500_M2_50steps_1e7rate_03beta_CSFTDPO

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text-generation

generated_from_trainer

tsavage68/Summary4500_M2_200steps_1e7rate_SFT

autotrain_compatible

text-generation-inference

endpoints_compatible

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Hyponatremia_M2_50steps_1e7rate_03beta_CSFTDPO

This model is a fine-tuned version of tsavage68/Summary4500_M2_200steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2959
Rewards/chosen: -0.0178
Rewards/rejected: -1.1712
Rewards/accuracies: 0.9980
Rewards/margins: 1.1534
Logps/rejected: -156.6336
Logps/chosen: -93.7990
Logits/rejected: -2.3394
Logits/chosen: -2.2921

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-07
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.2747	0.0112	50	0.2959	-0.0178	-1.1712	0.9980	1.1534	-156.6336	-93.7990	-2.3394	-2.2921

Framework versions

Transformers 4.42.4
Pytorch 2.0.0+cu117
Datasets 2.20.0
Tokenizers 0.19.1