Model save
Browse files- README.md +74 -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: 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-arq-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-arq-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: 0.4940
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- F1: 0.4635
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- Roc Auc: 0.6414
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- Accuracy: 0.1611
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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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| 0.6618 | 1.0 | 23 | 0.5781 | 0.0541 | 0.5054 | 0.0889 |
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| 0.6 | 2.0 | 46 | 0.5694 | 0.0376 | 0.5077 | 0.1111 |
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| 0.5872 | 3.0 | 69 | 0.5646 | 0.1429 | 0.5306 | 0.1278 |
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| 0.5757 | 4.0 | 92 | 0.5522 | 0.0615 | 0.5129 | 0.0944 |
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| 0.5862 | 5.0 | 115 | 0.5540 | 0.1859 | 0.5454 | 0.1111 |
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| 0.5442 | 6.0 | 138 | 0.5295 | 0.3583 | 0.5937 | 0.1389 |
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| 0.4986 | 7.0 | 161 | 0.5121 | 0.4494 | 0.6316 | 0.1667 |
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| 0.4602 | 8.0 | 184 | 0.4982 | 0.4668 | 0.6410 | 0.1778 |
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| 0.4242 | 9.0 | 207 | 0.4925 | 0.4586 | 0.6398 | 0.1778 |
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| 0.4172 | 10.0 | 230 | 0.4940 | 0.4635 | 0.6414 | 0.1611 |
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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
CHANGED
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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:e129332c486193b391615467bda6a196e34771a214bb501d51084d670d5e6eac
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size 2239635072
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