| language: | |
| - en | |
| - ar | |
| - bg | |
| - de | |
| - el | |
| - fr | |
| - hi | |
| - ru | |
| - es | |
| - sw | |
| - th | |
| - tr | |
| - ur | |
| - vi | |
| - zh | |
| - multilingual | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - xnli | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: pixel-base-finetuned-xnli-translate-train-all | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: XNLI | |
| type: xnli | |
| args: xnli | |
| metrics: | |
| - type: accuracy | |
| value: 0.6254886211512718 | |
| name: Joint validation accuracy | |
| <!-- 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. --> | |
| # pixel-base-finetuned-xnli-translate-train-all | |
| This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co./Team-PIXEL/pixel-base) on the XNLI dataset. | |
| ## 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: 2e-05 | |
| - train_batch_size: 256 | |
| - eval_batch_size: 8 | |
| - seed: 555 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 1000 | |
| - training_steps: 50000 | |
| - mixed_precision_training: Apex, opt level O1 | |
| ### Framework versions | |
| - Transformers 4.17.0 | |
| - Pytorch 1.11.0 | |
| - Datasets 2.0.0 | |
| - Tokenizers 0.12.1 | |