sft_00

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the Sohaib9920/code_tests dataset. It achieves the following results on the evaluation set:

Loss: 0.2291

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: 0.0005
train_batch_size: 2
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4228	0.4996	623	0.3337
0.3632	0.9993	1246	0.2687
0.264	1.4989	1869	0.2418
0.2535	1.9986	2492	0.2291

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

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