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clean-gpt2-wikitext2 – AI Model by armaanp | AlphaNeural AI
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armaanp
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clean-gpt2-wikitext2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
openai-community/gpt2
finetune
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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clean-gpt2-wikitext2
This model is a fine-tuned version of
gpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.0958
Accuracy: {'accuracy': 0.01026664402173913}
F1: {'f1': 0.00703878757390304}
Recall: {'recall': 0.01026664402173913}
Precision: {'precision': 0.005401831489934016}
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
Training results
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1
