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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: hasoc19-bert-base-multilingual-cased-profane-new
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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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# hasoc19-bert-base-multilingual-cased-profane-new
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5065
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- Accuracy: 0.9030
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- Precision: 0.8465
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- Recall: 0.8330
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- F1: 0.8395
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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: 1e-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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 296 | 0.2873 | 0.8954 | 0.8513 | 0.7881 | 0.8140 |
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| 0.2999 | 2.0 | 592 | 0.2556 | 0.9078 | 0.8703 | 0.8149 | 0.8385 |
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| 0.2999 | 3.0 | 888 | 0.2595 | 0.9106 | 0.8613 | 0.8415 | 0.8509 |
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| 0.1945 | 4.0 | 1184 | 0.2682 | 0.9078 | 0.8601 | 0.8302 | 0.8439 |
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| 0.1945 | 5.0 | 1480 | 0.3286 | 0.9087 | 0.8590 | 0.8365 | 0.8471 |
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| 0.142 | 6.0 | 1776 | 0.3911 | 0.9002 | 0.8390 | 0.8351 | 0.8370 |
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| 0.0944 | 7.0 | 2072 | 0.4184 | 0.9068 | 0.8558 | 0.8334 | 0.8439 |
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| 0.0944 | 8.0 | 2368 | 0.4763 | 0.9011 | 0.8450 | 0.8261 | 0.8350 |
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| 0.0631 | 9.0 | 2664 | 0.4952 | 0.9002 | 0.8412 | 0.8293 | 0.8351 |
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| 0.0631 | 10.0 | 2960 | 0.5065 | 0.9030 | 0.8465 | 0.8330 | 0.8395 |
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### Framework versions
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- Transformers 4.24.0.dev0
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- Pytorch 1.11.0+cu102
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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