Summary4500_M2_1000steps_1e5rate_01beta_CSFTDPO

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Hyponatremia_M2_1000steps_1e5rate_01beta_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: 0.0014
• Rewards/chosen: -17.0154
• Rewards/rejected: -135.8507
• Rewards/accuracies: 0.9980
• Rewards/margins: 118.8353
• Logps/rejected: -1511.2372
• Logps/chosen: -263.8938
• Logits/rejected: -2.3218
• Logits/chosen: -2.3112

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-05
• 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: 1000

Training results

Framework versions

• Transformers 4.42.4
• Pytorch 2.0.0+cu117
• Datasets 2.20.0
• Tokenizers 0.19.1