metadata
license: apache-2.0
base_model: ICT2214Team7/RoBERTa_Test_Training
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: RoBERTa_Combined_Generated_epoch_7
results: []
RoBERTa_Combined_Generated_epoch_7
This model is a fine-tuned version of ICT2214Team7/RoBERTa_Test_Training on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Precision: 0.9980
- Recall: 0.9980
- F1: 0.9980
- Accuracy: 0.9996
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: 5e-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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 0.0082 | 0.9818 | 0.9838 | 0.9828 | 0.9982 |
| No log | 2.0 | 400 | 0.0037 | 0.9939 | 0.9939 | 0.9939 | 0.9993 |
| 0.0692 | 3.0 | 600 | 0.0016 | 0.9959 | 0.9959 | 0.9959 | 0.9995 |
| 0.0692 | 4.0 | 800 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0025 | 5.0 | 1000 | 0.0005 | 0.9980 | 0.9980 | 0.9980 | 0.9996 |
| 0.0025 | 6.0 | 1200 | 0.0005 | 0.9980 | 0.9980 | 0.9980 | 0.9996 |
| 0.0025 | 7.0 | 1400 | 0.0005 | 0.9980 | 0.9980 | 0.9980 | 0.9996 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1