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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- xnli |
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metrics: |
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- accuracy |
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model-index: |
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- name: spanish-TinyBERT-betito-finetuned-xnli-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: xnli |
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type: xnli |
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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: 0.7475049900199601 |
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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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# spanish-TinyBERT-betito-finetuned-xnli-es |
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This model is a fine-tuned version of [mrm8488/spanish-TinyBERT-betito](https://huggingface.co/mrm8488/spanish-TinyBERT-betito) on the xnli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7104 |
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- Accuracy: 0.7475 |
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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: 2.50838112218154e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 64 |
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- seed: 13 |
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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: 5 |
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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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| 0.7191 | 1.0 | 49399 | 0.6829 | 0.7112 | |
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| 0.6323 | 2.0 | 98798 | 0.6527 | 0.7305 | |
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| 0.5727 | 3.0 | 148197 | 0.6531 | 0.7465 | |
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| 0.4964 | 4.0 | 197596 | 0.7079 | 0.7427 | |
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| 0.4929 | 5.0 | 246995 | 0.7104 | 0.7475 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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