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gpt2-wikitext2 – AI Model by MJa6 | AlphaNeural AI

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MJa6/
gpt2-wikitext2

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt2-wikitext2

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 7.5813
eval_runtime: 21.0482
eval_samples_per_second: 91.884
eval_steps_per_second: 11.497
epoch: 0.08
step: 184

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: 3.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3