Dan Semin
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update model card README.md
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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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- text-classification
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- generated_from_trainer
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datasets:
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- paws-x
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metrics:
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- accuracy
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model-index:
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- name: paws_x_m_bert_only_es
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: paws-x
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type: paws-x
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config: es
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split: train
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args: es
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.883
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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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# paws_x_m_bert_only_es
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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 paws-x dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5894
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- Accuracy: 0.883
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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: 128
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- eval_batch_size: 128
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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: 100
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- num_epochs: 10
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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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| 0.4197 | 1.0 | 386 | 0.3860 | 0.843 |
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| 0.2041 | 2.0 | 772 | 0.3299 | 0.8755 |
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| 0.1389 | 3.0 | 1158 | 0.3597 | 0.88 |
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| 0.1027 | 4.0 | 1544 | 0.3851 | 0.878 |
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| 0.0779 | 5.0 | 1930 | 0.4119 | 0.8815 |
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| 0.0631 | 6.0 | 2316 | 0.4387 | 0.8865 |
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| 0.0517 | 7.0 | 2702 | 0.4643 | 0.888 |
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| 0.0416 | 8.0 | 3088 | 0.4944 | 0.887 |
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| 0.0364 | 9.0 | 3474 | 0.5478 | 0.8845 |
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| 0.0297 | 10.0 | 3860 | 0.5894 | 0.883 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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