Model save
Browse files- README.md +76 -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: Kuongan/afro-xlmr-base-sun-noaug
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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-base-sun-noaug-finetuned-sun-tapt
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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-base-sun-noaug-finetuned-sun-tapt
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This model is a fine-tuned version of [Kuongan/afro-xlmr-base-sun-noaug](https://huggingface.co/Kuongan/afro-xlmr-base-sun-noaug) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1810
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- F1: 0.4360
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- Roc Auc: 0.6706
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- Accuracy: 0.7780
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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 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: 20
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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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| 0.1957 | 1.0 | 52 | 0.1748 | 0.3924 | 0.6586 | 0.7854 |
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| 0.2027 | 2.0 | 104 | 0.1789 | 0.3654 | 0.6387 | 0.7634 |
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| 0.1953 | 3.0 | 156 | 0.1768 | 0.4195 | 0.6657 | 0.7707 |
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| 0.1685 | 4.0 | 208 | 0.1858 | 0.4239 | 0.6645 | 0.7512 |
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| 0.164 | 5.0 | 260 | 0.1744 | 0.4035 | 0.6627 | 0.7659 |
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| 0.1553 | 6.0 | 312 | 0.1762 | 0.4651 | 0.6905 | 0.7561 |
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| 0.154 | 7.0 | 364 | 0.1725 | 0.5028 | 0.6999 | 0.7683 |
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| 0.1293 | 8.0 | 416 | 0.1768 | 0.4513 | 0.6843 | 0.7707 |
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| 0.1381 | 9.0 | 468 | 0.1742 | 0.5195 | 0.7121 | 0.7537 |
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| 0.1212 | 10.0 | 520 | 0.2013 | 0.3664 | 0.6299 | 0.7439 |
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| 0.0988 | 11.0 | 572 | 0.1723 | 0.4813 | 0.6954 | 0.7683 |
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| 0.1053 | 12.0 | 624 | 0.1810 | 0.4360 | 0.6706 | 0.7780 |
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### Framework versions
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- Transformers 4.47.0
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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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-
oid sha256:
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size 1112217312
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb8a17d66f910fd0c20124b3ca7bab4d6ab24d6c9db6058a18abc6c0362e2bf9
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size 1112217312
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