afro-xlmr-large-kinre-finetuned-kinte-tweet-finetuned
This model is a fine-tuned version of RogerB/afro-xlmr-large-kinre-finetuned on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0860
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4276 | 1.0 | 1250 | 2.2164 |
| 2.2513 | 2.0 | 2500 | 2.1235 |
| 2.1868 | 3.0 | 3750 | 2.1156 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1