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distilgpt2-finetuned-github_cybersecurity_READMEs – AI Model by shcapybara0925 | AlphaNeural AI
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distilgpt2-finetuned-github_cybersecurity_READMEs
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilgpt2
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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distilgpt2-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of
distilgpt2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 5.1579
F1: 0.0127
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
lr_scheduler_warmup_steps: 1000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
6.1863
1.0
232
5.8725
0.0142
5.7221
2.0
464
5.4602
0.0131
5.4834
3.0
696
5.1579
0.0127
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2