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---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_keras_callback
model-index:
- name: pippinnie/distilroberta-base-finetuned-cyber-readme-v2
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pippinnie/distilroberta-base-finetuned-cyber-readme-v2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.6160
- Train Accuracy: 0.0831
- Validation Loss: 2.2778
- Validation Accuracy: 0.0909
- Epoch: 3
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 2.9763 | 0.0766 | 2.5856 | 0.0839 | 0 |
| 2.8159 | 0.0795 | 2.4501 | 0.0871 | 1 |
| 2.7022 | 0.0816 | 2.3638 | 0.0892 | 2 |
| 2.6160 | 0.0831 | 2.2778 | 0.0909 | 3 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.16.1
- Datasets 2.18.0
- Tokenizers 0.15.2
|