k4 / README.md
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metadata
license: other
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
  - trl
  - kto
  - generated_from_trainer
model-index:
  - name: k4
    results: []

Visualize in Weights & Biases

k4

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2448
  • Eval/rewards/chosen: 2.8764
  • Eval/logps/chosen: -113.8310
  • Eval/rewards/rejected: -6.5865
  • Eval/logps/rejected: -246.9232
  • Eval/rewards/margins: 9.4629
  • Eval/kl: 16.4805

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: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1898 1.7094 100 0.2448 16.4805

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1