afrolid_mega
This model is a fine-tuned version of 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
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Model tree for 14kwonss/afrolid_mega
Base model
UBC-NLP/serengeti