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README.md
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---
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license: apache-2.0
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base_model: bert-base-multilingual-cased
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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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model-index:
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- name: 16class_combo_vth_new_pp_full_updated_tweet_13nov23_v1
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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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# 16class_combo_vth_new_pp_full_updated_tweet_13nov23_v1
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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: 0.0420
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- Accuracy: 0.9908
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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: 16
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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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- num_epochs: 11
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.5945 | 1.0 | 735 | 0.7331 | 0.7813 |
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| 0.8273 | 2.0 | 1470 | 0.4370 | 0.8743 |
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| 0.4943 | 3.0 | 2205 | 0.3176 | 0.9061 |
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| 0.3995 | 4.0 | 2940 | 0.2252 | 0.9335 |
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| 0.2712 | 5.0 | 3675 | 0.1714 | 0.9517 |
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| 0.2352 | 6.0 | 4410 | 0.1183 | 0.9690 |
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| 0.1794 | 7.0 | 5145 | 0.0823 | 0.9795 |
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| 0.1361 | 8.0 | 5880 | 0.0634 | 0.9861 |
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| 0.1111 | 9.0 | 6615 | 0.0514 | 0.9885 |
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| 0.0891 | 10.0 | 7350 | 0.0440 | 0.9900 |
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| 0.0675 | 11.0 | 8085 | 0.0420 | 0.9908 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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