Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: Davlan/afro-xlmr-large-76L
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: cs221-afro-xlmr-large-76L-hau-finetuned-10-epochs
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# cs221-afro-xlmr-large-76L-hau-finetuned-10-epochs
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.2502
+- F1: 0.7148
+- Roc Auc: 0.8156
+- Accuracy: 0.5594
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.491         | 1.0   | 54   | 0.4615          | 0.0    | 0.5     | 0.1538   |
+| 0.4482        | 2.0   | 108  | 0.3915          | 0.2562 | 0.5720  | 0.2354   |
+| 0.3407        | 3.0   | 162  | 0.2965          | 0.6125 | 0.7398  | 0.4476   |
+| 0.288         | 4.0   | 216  | 0.2779          | 0.6596 | 0.7747  | 0.4918   |
+| 0.2309        | 5.0   | 270  | 0.2545          | 0.704  | 0.8037  | 0.5501   |
+| 0.1891        | 6.0   | 324  | 0.2415          | 0.7285 | 0.8197  | 0.5618   |
+| 0.1647        | 7.0   | 378  | 0.2543          | 0.7162 | 0.8167  | 0.5571   |
+| 0.1397        | 8.0   | 432  | 0.2452          | 0.72   | 0.8185  | 0.5571   |
+| 0.1309        | 9.0   | 486  | 0.2499          | 0.7138 | 0.8160  | 0.5571   |
+| 0.12          | 10.0  | 540  | 0.2502          | 0.7148 | 0.8156  | 0.5594   |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

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