MLP-FinLLM-dpo-7b / README.md
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metadata
base_model: seanmemery/MLP-FinLLM-7b-it
tags:
  - trl
  - dpo
  - unsloth
  - generated_from_trainer
model-index:
  - name: MLP-FinLLM-dpo-7b
    results: []

MLP-FinLLM-dpo-7b

This model is a fine-tuned version of seanmemery/MLP-FinLLM-7b-it on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6707
  • Rewards/chosen: 0.0674
  • Rewards/rejected: -0.0381
  • Rewards/accuracies: 0.2975
  • Rewards/margins: 0.1055
  • Logps/rejected: -22.125
  • Logps/chosen: -29.875
  • Logits/rejected: -5.8438
  • Logits/chosen: -5.875

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: 32
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rewards/chosen Rewards/rejected Rewards/accuracies Rewards/margins Logps/rejected Logps/chosen Logits/rejected Logits/chosen
0.6367 0.69 50 0.6707 0.0674 -0.0381 0.2975 0.1055 -22.125 -29.875 -5.8438 -5.875

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2