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starcoderbase-1b-cont-scilab-2048 – AI Model by pierreqi | AlphaNeural AI

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pierreqi/
starcoderbase-1b-cont-scilab-2048

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text-generation

generated_from_trainer

bigcode/starcoderbase-1b

bigcode-openrail-m

autotrain_compatible

text-generation-inference

endpoints_compatible

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starcoderbase-1b-cont-scilab

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset.

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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1