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-base
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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-base-tat-MICRO
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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-base-tat-MICRO
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This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4220
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- F1: 0.6791
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- Roc Auc: 0.8228
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- Accuracy: 0.6614
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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: 16
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- eval_batch_size: 16
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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: 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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| 0.2295 | 1.0 | 345 | 0.2586 | 0.5653 | 0.7200 | 0.5818 |
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| 0.174 | 2.0 | 690 | 0.2525 | 0.6211 | 0.7728 | 0.6295 |
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| 0.1379 | 3.0 | 1035 | 0.2428 | 0.6566 | 0.7980 | 0.6477 |
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| 0.0958 | 4.0 | 1380 | 0.2517 | 0.6689 | 0.7849 | 0.6636 |
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| 0.0594 | 5.0 | 1725 | 0.2693 | 0.6667 | 0.8033 | 0.65 |
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| 0.0605 | 6.0 | 2070 | 0.3010 | 0.6637 | 0.8047 | 0.6545 |
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| 0.0325 | 7.0 | 2415 | 0.3619 | 0.6569 | 0.8053 | 0.6545 |
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| 0.0141 | 8.0 | 2760 | 0.3174 | 0.6944 | 0.8326 | 0.6727 |
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| 0.03 | 9.0 | 3105 | 0.3352 | 0.7041 | 0.8304 | 0.6909 |
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| 0.0101 | 10.0 | 3450 | 0.3533 | 0.6766 | 0.8117 | 0.6682 |
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| 0.0054 | 11.0 | 3795 | 0.3688 | 0.6950 | 0.8274 | 0.6795 |
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| 0.007 | 12.0 | 4140 | 0.3798 | 0.6983 | 0.8345 | 0.675 |
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| 0.0075 | 13.0 | 4485 | 0.4220 | 0.6791 | 0.8228 | 0.6614 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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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 1112217312
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e0f5b6007368ef0af3df1b114d0c8e39b54562159b9510b9cecab2b5f47b897
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size 1112217312
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