---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# RoBERTa_Combined_Generated_epoch_7

This model is a fine-tuned version of [ICT2214Team7/RoBERTa_Test_Training](https://huggingface.co/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