yalhessi/lemexp-task1-v2-lemma_object_small_notypes-deepseek-coder-1.3b-base-ddp-8lr-v2

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lemexp-task1-v2-lemmaobjectsmall_notypes-deepseek-coder-1.3b-base-ddp-8lr-v2

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2817

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: 0.0008
• —trainbatchsize: 2
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 8
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 12
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.47.0
• —Pytorch 2.5.1+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0