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github_cybersecurity_READMEs – AI Model by wen1126 | AlphaNeural AI
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
geralt/MechDistilGPT2
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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github_cybersecurity_READMEs
This model is a fine-tuned version of
geralt/MechDistilGPT2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 9.7201
Accuracy: 0.0193
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
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
13
10.5158
0.0045
No log
2.0
26
9.9496
0.0123
No log
3.0
39
9.7201
0.0193
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
