stojchet_-_k2-awq

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k2 - AWQ

• Model creator: https://huggingface.co/stojchet/
• Original model: https://huggingface.co/stojchet/k2/

Original model description:

base_model: deepseek-ai/deepseek-coder-1.3b-base tags:

• trl
• kto
• generated_from_trainer model-index:
• name: k2 results: []

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k2

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: 0.1672
• Eval/rewards/chosen: 2.6052
• Eval/logps/chosen: -116.5449
• Eval/rewards/rejected: -11.1897
• Eval/logps/rejected: -292.9474
• Eval/rewards/margins: 13.7949
• Eval/kl: 8.4275

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: 5e-05
• 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: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

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