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---
library_name: transformers
license: mit
base_model: sercetexam9/afro-xlmr-base-vmw-MICRO
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: afro-xlmr-base-vmw-MICRO-finetuned-augmentation-LUNAR-TAPT-micro
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. -->
# afro-xlmr-base-vmw-MICRO-finetuned-augmentation-LUNAR-TAPT-micro
This model is a fine-tuned version of [sercetexam9/afro-xlmr-base-vmw-MICRO](https://huggingface.co/sercetexam9/afro-xlmr-base-vmw-MICRO) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2140
- F1: 0.4766
- Roc Auc: 0.7082
- Accuracy: 0.6820
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| 0.0842 | 1.0 | 169 | 0.2140 | 0.4766 | 0.7082 | 0.6820 |
| 0.0753 | 2.0 | 338 | 0.2155 | 0.4185 | 0.6476 | 0.7028 |
| 0.0629 | 3.0 | 507 | 0.2321 | 0.4273 | 0.6741 | 0.6657 |
| 0.0805 | 4.0 | 676 | 0.2392 | 0.3963 | 0.6565 | 0.6627 |
| 0.0577 | 5.0 | 845 | 0.2320 | 0.4661 | 0.6929 | 0.6880 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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