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distilroberta-base-finetuned-cybersecurity_READMEs – AI Model by Marcell322 | AlphaNeural AI
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distilroberta-base-finetuned-cybersecurity_READMEs
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-cybersecurity_READMEs
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.6149
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
4.3651
1.0
1743
3.9650
4.0035
2.0
3486
3.7620
3.8638
3.0
5229
3.6542
Framework versions
Transformers 4.40.0.dev0
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1
