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-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-mar-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-mar-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: 0.1305
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- F1: 0.8731
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- Roc Auc: 0.9168
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- Accuracy: 0.8199
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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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| 0.4297 | 1.0 | 61 | 0.4256 | 0.0 | 0.5 | 0.1573 |
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| 0.2665 | 2.0 | 122 | 0.2210 | 0.7004 | 0.8074 | 0.6605 |
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| 0.1598 | 3.0 | 183 | 0.1435 | 0.8430 | 0.8918 | 0.7950 |
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| 0.1304 | 4.0 | 244 | 0.1284 | 0.8594 | 0.9058 | 0.8054 |
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| 0.0845 | 5.0 | 305 | 0.1280 | 0.8596 | 0.9046 | 0.8095 |
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| 0.0751 | 6.0 | 366 | 0.1272 | 0.8714 | 0.9137 | 0.8219 |
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| 0.068 | 7.0 | 427 | 0.1285 | 0.8738 | 0.9198 | 0.8137 |
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| 0.0555 | 8.0 | 488 | 0.1301 | 0.8761 | 0.9200 | 0.8199 |
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| 0.0458 | 9.0 | 549 | 0.1303 | 0.8711 | 0.9149 | 0.8199 |
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| 0.0446 | 10.0 | 610 | 0.1305 | 0.8731 | 0.9168 | 0.8199 |
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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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@@ -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 2239635072
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version https://git-lfs.github.com/spec/v1
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oid sha256:c922bde3d7e2d1de6753841db56c4b4c8d9da5fcdf152ccb5ee93e942bae1220
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size 2239635072
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