---
library_name: transformers
base_model: UBC-NLP/serengeti
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: afrolid_mega
  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. -->

# afrolid_mega

This model is a fine-tuned version of [UBC-NLP/serengeti](https://huggingface.co/UBC-NLP/serengeti) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0886
- F1: 0.9755

## 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: 512
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 8192
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25.0

### Training results

| Training Loss | Epoch   | Step | Validation Loss | F1     |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 0.0227        | 17.7936 | 5000 | 0.0886          | 0.9755 |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.11.0
- Datasets 3.6.0
- Tokenizers 0.22.2