RichardErkhov/tsavage68_-_Na_M2_350steps_1e8rate_03beta_cSFTDPO-gguf

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NaM2350steps1e8rate03beta_cSFTDPO - GGUF

• —Model creator: https://huggingface.co/tsavage68/
• —Original model: https://huggingface.co/tsavage68/NaM2350steps1e8rate03beta_cSFTDPO/

Original model description: --- libraryname: transformers license: apache-2.0 basemodel: tsavage68/NaM21000steps1e7SFT tags:

• —trl
• —dpo
• —generatedfromtrainer model-index:
• —name: NaM2350steps1e8rate03beta_cSFTDPO results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

NaM2350steps1e8rate03beta_cSFTDPO

This model is a fine-tuned version of tsavage68/Na_M2_1000steps_1e7_SFT on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5980
• —Rewards/chosen: 0.0777
• —Rewards/rejected: -0.1272
• —Rewards/accuracies: 0.9700
• —Rewards/margins: 0.2049
• —Logps/rejected: -80.3475
• —Logps/chosen: -47.8734
• —Logits/rejected: -2.5363
• —Logits/chosen: -2.5489

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
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 350

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1