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distilroberta-base-finetuned-cyberReadmes – AI Model by Poompatai | AlphaNeural AI
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distilroberta-base-finetuned-cyberReadmes
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transformers
safetensors
roberta
text-generation
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-cyberReadmes
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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
0.0005
1.0
15925
0.0000
0.0003
2.0
31850
0.0000
0.0001
3.0
47775
0.0000
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
