mpbbLM – AI Model by Akoo | AlphaNeural AI | AlphaNeural AI

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Akoo/
mpbbLM

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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mpbbLM

This model is a fine-tuned version of codeparrot/codeparrot-small on the mbpp dataset. It achieves the following results on the evaluation set:

Loss: 1.7239

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.2545	0.61	10	1.7239

Framework versions

Transformers 4.21.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1