metadata

license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
model-index:
  - name: distilroberta-base-finetuned-cybersecurity-readme
    results: []

distilroberta-base-finetuned-cybersecurity-readme

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4306

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
1.3419	1.0	1546	1.5076
1.5405	2.0	3092	1.4320
1.4851	3.0	4638	1.4200

Framework versions

Transformers 4.40.0.dev0
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2