Model save
Browse files- README.md +74 -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-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: cs221-afro-xlmr-large-76L-orm-finetuned-10-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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# cs221-afro-xlmr-large-76L-orm-finetuned-10-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: 0.2466
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- F1: 0.5756
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- Roc Auc: 0.7349
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- Accuracy: 0.6061
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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: 10
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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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| 0.3477 | 1.0 | 87 | 0.3587 | 0.0354 | 0.5080 | 0.2369 |
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| 0.3192 | 2.0 | 174 | 0.3032 | 0.1766 | 0.5570 | 0.3924 |
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| 0.2639 | 3.0 | 261 | 0.2631 | 0.3089 | 0.6130 | 0.5334 |
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| 0.2128 | 4.0 | 348 | 0.2350 | 0.5180 | 0.7115 | 0.5858 |
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| 0.1789 | 5.0 | 435 | 0.2314 | 0.5112 | 0.7075 | 0.5901 |
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| 0.1465 | 6.0 | 522 | 0.2347 | 0.6000 | 0.7566 | 0.5843 |
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| 0.1321 | 7.0 | 609 | 0.2457 | 0.5844 | 0.7496 | 0.5872 |
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| 0.094 | 8.0 | 696 | 0.2412 | 0.5649 | 0.7271 | 0.6032 |
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| 0.0867 | 9.0 | 783 | 0.2450 | 0.5755 | 0.7326 | 0.6119 |
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| 0.0866 | 10.0 | 870 | 0.2466 | 0.5756 | 0.7349 | 0.6061 |
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### Framework versions
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- Transformers 4.48.0
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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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-
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size 2239635072
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version https://git-lfs.github.com/spec/v1
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size 2239635072
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