distilgpt2-finetuned-python-stack-clean-answers-e10 – AI Model by Keithulu | AlphaNeural AI

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Keithulu/
distilgpt2-finetuned-python-stack-clean-answers-e10

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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distilgpt2-finetuned-python-stack-clean-answers-e10

This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.3318

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	28	3.7900
No log	2.0	56	3.6846
No log	3.0	84	3.5965
No log	4.0	112	3.5271
No log	5.0	140	3.4656
No log	6.0	168	3.4170
No log	7.0	196	3.3794
No log	8.0	224	3.3529
No log	9.0	252	3.3367
No log	10.0	280	3.3318

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3