Hyponatremia_L3_100steps_1e6rate_013beta_DPO – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
Hyponatremia_L3_100steps_1e6rate_013beta_DPO

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text-generation

generated_from_trainer

tsavage68/Hyponatremia_L3_450steps_1e7rate_SFT

autotrain_compatible

text-generation-inference

endpoints_compatible

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Hyponatremia_L3_100steps_1e6rate_013beta_DPO

This model is a fine-tuned version of tsavage68/Hyponatremia_L3_450steps_1e7rate_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Rewards/chosen: 1.9299
Rewards/rejected: -9.8997
Rewards/accuracies: 1.0
Rewards/margins: 11.8296
Logps/rejected: -72.4257
Logps/chosen: -16.2838
Logits/rejected: -1.0137
Logits/chosen: -0.9231

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: 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
0.0001	0.2667	50	0.0001	1.7930	-8.0228	1.0	9.8159	-66.1697	-16.7400	-1.0124	-0.9226
0.0	0.5333	100	0.0000	1.9299	-9.8997	1.0	11.8296	-72.4257	-16.2838	-1.0137	-0.9231

Framework versions

Transformers 4.42.3
Pytorch 2.0.0+cu117
Datasets 2.20.0
Tokenizers 0.19.1