afro-xlmr-large-kinre-finetuned
This model is a fine-tuned version of Davlan/afro-xlmr-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2280
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: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.4816 | 1.0 | 1875 | 1.2862 |
1.3458 | 2.0 | 3750 | 1.2337 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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