---
base_model: UBC-NLP/MARBERTv2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: Model3_Marabertv2_T2_WS_A100
  results: []
---

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# Model3_Marabertv2_T2_WS_A100

This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0795
- F1: 0.8271
- Roc Auc: 0.9092
- Accuracy: 0.7430

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 193  | 0.1589          | 0.5089 | 0.6835  | 0.3687   |
| No log        | 2.0   | 386  | 0.1122          | 0.6879 | 0.7800  | 0.5680   |
| 0.1646        | 3.0   | 579  | 0.0932          | 0.7846 | 0.8623  | 0.6816   |
| 0.1646        | 4.0   | 772  | 0.0793          | 0.8138 | 0.8823  | 0.7318   |
| 0.1646        | 5.0   | 965  | 0.0916          | 0.7893 | 0.8787  | 0.6965   |
| 0.0598        | 6.0   | 1158 | 0.0739          | 0.8251 | 0.8935  | 0.7318   |
| 0.0598        | 7.0   | 1351 | 0.0752          | 0.8257 | 0.9002  | 0.7393   |
| 0.0266        | 8.0   | 1544 | 0.0800          | 0.8350 | 0.9128  | 0.7467   |
| 0.0266        | 9.0   | 1737 | 0.0810          | 0.8295 | 0.9123  | 0.7430   |
| 0.0266        | 10.0  | 1930 | 0.0795          | 0.8271 | 0.9092  | 0.7430   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3