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k1

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metadata
base_model: deepseek-ai/deepseek-coder-1.3b-base
tags:
  - trl
  - kto
  - generated_from_trainer
model-index:
  - name: k1
    results: []

Visualize in Weights & Biases

k1

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: 0.1316
  • Eval/rewards/chosen: 2.3534
  • Eval/logps/chosen: -119.0631
  • Eval/rewards/rejected: -14.8466
  • Eval/logps/rejected: -329.5165
  • Eval/rewards/margins: 17.1999
  • Eval/kl: 2.9675

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: 0.0001
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • 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
0.0963 1.7058 100 0.1316 2.9675

Framework versions

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