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README.md
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---
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license: afl-3.0
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tags:
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- generated_from_trainer
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model-index:
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- name: model_3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# model_3
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This model is a fine-tuned version of [Davlan/afro-xlmr-large-61L](https://huggingface.co/Davlan/afro-xlmr-large-61L) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3654
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.9218 | 1.0 | 1453 | 1.6494 |
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| 1.7438 | 2.0 | 2906 | 1.6273 |
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| 1.6321 | 3.0 | 4359 | 1.5267 |
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| 1.5142 | 4.0 | 5812 | 1.4903 |
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| 1.4759 | 5.0 | 7265 | 1.4603 |
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| 1.4138 | 6.0 | 8718 | 1.3933 |
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| 1.3501 | 7.0 | 10171 | 1.4280 |
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| 1.3373 | 8.0 | 11624 | 1.3632 |
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| 1.298 | 9.0 | 13077 | 1.4296 |
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| 1.2869 | 10.0 | 14530 | 1.3654 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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