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jd9 – AI Model by stojchet | AlphaNeural AI

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stojchet/
jd9

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text-generation

generated_from_trainer

deepseek-ai/deepseek-coder-1.3b-base

autotrain_compatible

text-generation-inference

endpoints_compatible

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jd9

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator 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: 1e-06
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 4
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