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pixel-base-finetuned-xnli-translate-train-all
Team-PIXEL/pixel-base-finetuned-xnli-translate-train-all
pixel-base-finetuned-xnli-translate-train-all is a text classification model from Team-PIXEL. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- pixel
- Access
- Public
- Created
- Jul 13, 2022
- Updated
- Jul 13, 2022
- SHA
- feb32e77
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Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- pixel
- Languages
- en, ar, bg, de, el, fr
- Created
- Jul 13, 2022
- Updated
- Jul 13, 2022