Model save
Browse files- README.md +78 -0
- 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-ptmz-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-ptmz-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: 0.4440
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- F1: 0.5347
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- Roc Auc: 0.7286
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- Accuracy: 0.6357
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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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| 0.2142 | 1.0 | 404 | 0.2462 | 0.2719 | 0.5799 | 0.5465 |
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| 0.1698 | 2.0 | 808 | 0.2159 | 0.4521 | 0.6602 | 0.6085 |
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| 0.0961 | 3.0 | 1212 | 0.2625 | 0.5019 | 0.7228 | 0.5833 |
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| 0.0722 | 4.0 | 1616 | 0.2703 | 0.5072 | 0.7095 | 0.6182 |
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| 0.0321 | 5.0 | 2020 | 0.2979 | 0.5040 | 0.7103 | 0.6143 |
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| 0.016 | 6.0 | 2424 | 0.3259 | 0.5389 | 0.7293 | 0.6434 |
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| 0.0231 | 7.0 | 2828 | 0.3676 | 0.4939 | 0.7046 | 0.6163 |
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| 0.0102 | 8.0 | 3232 | 0.3594 | 0.5349 | 0.7327 | 0.6240 |
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| 0.0041 | 9.0 | 3636 | 0.4071 | 0.5146 | 0.7212 | 0.6085 |
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| 0.0032 | 10.0 | 4040 | 0.4081 | 0.5444 | 0.7464 | 0.6143 |
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| 0.002 | 11.0 | 4444 | 0.4213 | 0.5142 | 0.7146 | 0.6202 |
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| 0.0016 | 12.0 | 4848 | 0.4291 | 0.5246 | 0.7177 | 0.6357 |
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| 0.0013 | 13.0 | 5252 | 0.4394 | 0.5325 | 0.7176 | 0.6376 |
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| 0.0026 | 14.0 | 5656 | 0.4440 | 0.5347 | 0.7286 | 0.6357 |
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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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@@ -1,3 +1,3 @@
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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 sha256:0af4efd04eda6a302a30d2f9589877ff2700a3bfb3066715275dbeeb477f5b94
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size 1112217312
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