Model save
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- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: Davlan/afro-xlmr-large-76L
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: afro-xlmr-large-76L-afr-DAPT-finetuned-20-epochs
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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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# afro-xlmr-large-76L-afr-DAPT-finetuned-20-epochs
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This model is a fine-tuned version of [Davlan/afro-xlmr-large-76L](https://huggingface.co/Davlan/afro-xlmr-large-76L) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2408
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- F1: 0.8672
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- Roc Auc: 0.9087
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- Accuracy: 0.7578
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| 0.5348 | 1.0 | 81 | 0.4887 | 0.1383 | 0.5513 | 0.1708 |
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| 0.3047 | 2.0 | 162 | 0.2438 | 0.8299 | 0.8772 | 0.7034 |
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| 0.1832 | 3.0 | 243 | 0.2173 | 0.8636 | 0.9047 | 0.7143 |
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| 0.1559 | 4.0 | 324 | 0.2018 | 0.8632 | 0.9072 | 0.7360 |
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| 0.1441 | 5.0 | 405 | 0.2017 | 0.8600 | 0.9012 | 0.7422 |
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| 0.1193 | 6.0 | 486 | 0.2044 | 0.8590 | 0.9017 | 0.7407 |
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| 0.0899 | 7.0 | 567 | 0.2345 | 0.8736 | 0.9183 | 0.7733 |
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| 0.0793 | 8.0 | 648 | 0.2243 | 0.8688 | 0.9142 | 0.7484 |
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| 0.0593 | 9.0 | 729 | 0.2439 | 0.8500 | 0.8945 | 0.7174 |
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| 0.0524 | 10.0 | 810 | 0.2493 | 0.8610 | 0.9054 | 0.7422 |
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| 0.054 | 11.0 | 891 | 0.2408 | 0.8672 | 0.9087 | 0.7578 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 2239630972
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2f6cbf3d7e7c65653a4afa562c6e3ecc2729d4508b0c8521b420e21a5157644
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size 2239630972
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