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-kin-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-kin-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: 0.2964
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- F1: 0.5317
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- Roc Auc: 0.7240
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- Accuracy: 0.5388
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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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| 0.3427 | 1.0 | 62 | 0.3480 | 0.0 | 0.5 | 0.2755 |
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| 0.3132 | 2.0 | 124 | 0.2953 | 0.2963 | 0.6054 | 0.3776 |
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| 0.2477 | 3.0 | 186 | 0.2773 | 0.3701 | 0.6474 | 0.5020 |
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| 0.2142 | 4.0 | 248 | 0.2545 | 0.4388 | 0.6919 | 0.5102 |
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| 0.1723 | 5.0 | 310 | 0.2574 | 0.5025 | 0.7093 | 0.5265 |
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| 0.1362 | 6.0 | 372 | 0.2884 | 0.5145 | 0.7257 | 0.5306 |
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| 0.0995 | 7.0 | 434 | 0.2816 | 0.5031 | 0.7086 | 0.5388 |
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| 0.0857 | 8.0 | 496 | 0.2895 | 0.5332 | 0.7265 | 0.5449 |
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| 0.0695 | 9.0 | 558 | 0.2984 | 0.5322 | 0.7244 | 0.5388 |
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| 0.071 | 10.0 | 620 | 0.2964 | 0.5317 | 0.7240 | 0.5388 |
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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:af79aab0881f444224ff708351e4cb072e37fd0afc262867d590bbe29eb35043
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size 2239635072
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