Model save

README.md

@@ -0,0 +1,74 @@
+---
+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-ibo-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-ibo-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: 0.2894
+- F1: 0.5811
+- Roc Auc: 0.7499
+- Accuracy: 0.5191
+
+## 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 OptimizerNames.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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.3896        | 1.0   | 72   | 0.3613          | 0.0    | 0.5     | 0.2483   |
+| 0.3309        | 2.0   | 144  | 0.3006          | 0.4248 | 0.6424  | 0.4306   |
+| 0.2842        | 3.0   | 216  | 0.2790          | 0.5075 | 0.6902  | 0.4688   |
+| 0.2382        | 4.0   | 288  | 0.2757          | 0.5273 | 0.7025  | 0.4792   |
+| 0.207         | 5.0   | 360  | 0.2648          | 0.5700 | 0.7299  | 0.5243   |
+| 0.1761        | 6.0   | 432  | 0.2687          | 0.5749 | 0.7380  | 0.5069   |
+| 0.1427        | 7.0   | 504  | 0.2800          | 0.5777 | 0.7414  | 0.5243   |
+| 0.1281        | 8.0   | 576  | 0.2855          | 0.5734 | 0.7446  | 0.5139   |
+| 0.1165        | 9.0   | 648  | 0.2882          | 0.5895 | 0.7541  | 0.5226   |
+| 0.113         | 10.0  | 720  | 0.2894          | 0.5811 | 0.7499  | 0.5191   |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:42545e96f562549cd2dd5fce18de07a15815295234c551843d7ca3cd500f3b5f
+oid sha256:65cab4791d1657628fedcfa3f9682c3e1dfdf98681453a09164fd3de84c0baf4
 size 2239635072