| 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 | |