| --- |
| license: apache-2.0 |
| tags: |
| - text-classification |
| - generated_from_trainer |
| datasets: |
| - xnli |
| metrics: |
| - accuracy |
| model-index: |
| - name: xnli_m_bert_only_tr |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: xnli |
| type: xnli |
| config: tr |
| split: train |
| args: tr |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.7100401606425703 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # xnli_m_bert_only_tr |
|
|
| This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the xnli dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3355 |
| - Accuracy: 0.7100 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 128 |
| - eval_batch_size: 128 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 0.75 | 1.0 | 3068 | 0.7202 | 0.6928 | |
| | 0.6718 | 2.0 | 6136 | 0.6718 | 0.7209 | |
| | 0.5933 | 3.0 | 9204 | 0.6959 | 0.7165 | |
| | 0.5075 | 4.0 | 12272 | 0.7149 | 0.7245 | |
| | 0.4237 | 5.0 | 15340 | 0.8141 | 0.7124 | |
| | 0.341 | 6.0 | 18408 | 0.9218 | 0.7072 | |
| | 0.2743 | 7.0 | 21476 | 1.0044 | 0.7124 | |
| | 0.2135 | 8.0 | 24544 | 1.1326 | 0.7193 | |
| | 0.1685 | 9.0 | 27612 | 1.2362 | 0.7056 | |
| | 0.1349 | 10.0 | 30680 | 1.3355 | 0.7100 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.24.0 |
| - Pytorch 1.13.0 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.1 |
|
|
