End of training
Browse files- README.md +71 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: ai-forever/ruBert-base
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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: opd_bert_spam_ru
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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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# opd_bert_spam_ru
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This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBert-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1034
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- F1: 0.9872
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- Accuracy: 0.9872
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 70
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
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| 0.1094 | 0.5102 | 100 | 0.2559 | 0.9587 | 0.9591 |
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| 0.1566 | 1.0204 | 200 | 0.0769 | 0.9847 | 0.9847 |
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| 0.0352 | 1.5306 | 300 | 0.0860 | 0.9821 | 0.9821 |
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| 0.0571 | 2.0408 | 400 | 0.0908 | 0.9846 | 0.9847 |
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| 0.0256 | 2.5510 | 500 | 0.1034 | 0.9872 | 0.9872 |
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| 0.0178 | 3.0612 | 600 | 0.1416 | 0.9770 | 0.9770 |
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| 0.0098 | 3.5714 | 700 | 0.1461 | 0.9821 | 0.9821 |
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| 0.0097 | 4.0816 | 800 | 0.1618 | 0.9770 | 0.9770 |
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| 0.0003 | 4.5918 | 900 | 0.1651 | 0.9795 | 0.9795 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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 713259008
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version https://git-lfs.github.com/spec/v1
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oid sha256:35cfe712d8012397cbe0b408cc55a6cecb760a29f5b3540a93259f3385e87025
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size 713259008
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