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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-targinsult1
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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-targinsult1
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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: 1.1105
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- Accuracy: 0.6920
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- Precision: 0.6630
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- Recall: 0.6523
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- F1: 0.6559
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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 | 263 | 0.5820 | 0.6820 | 0.6704 | 0.5890 | 0.5768 |
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| 0.5841 | 2.0 | 526 | 0.5826 | 0.7025 | 0.6972 | 0.6196 | 0.6179 |
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| 0.5841 | 3.0 | 789 | 0.5732 | 0.7029 | 0.6810 | 0.6863 | 0.6831 |
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| 0.4583 | 4.0 | 1052 | 0.6151 | 0.7063 | 0.6797 | 0.6712 | 0.6744 |
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| 0.4583 | 5.0 | 1315 | 0.6998 | 0.7034 | 0.6773 | 0.6732 | 0.6750 |
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| 0.3201 | 6.0 | 1578 | 0.7943 | 0.6892 | 0.6679 | 0.6744 | 0.6701 |
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| 0.3201 | 7.0 | 1841 | 0.9488 | 0.6873 | 0.6565 | 0.6386 | 0.6428 |
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| 0.207 | 8.0 | 2104 | 1.0036 | 0.6844 | 0.6563 | 0.6529 | 0.6544 |
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| 0.207 | 9.0 | 2367 | 1.0690 | 0.6906 | 0.6617 | 0.6532 | 0.6562 |
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| 0.1517 | 10.0 | 2630 | 1.1105 | 0.6920 | 0.6630 | 0.6523 | 0.6559 |
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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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