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xnli_xlm_r_only_de
semindan/xnli_xlm_r_only_de
xnli_xlm_r_only_de is a text classification model from semindan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Dec 12, 2022
- Updated
- Jan 7, 2023
- SHA
- be71e0d8
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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. -->
xnli_xlm_r_only_de
This model is a fine-tuned version of xlm-roberta-base on the xnli dataset. It achieves the following results on the evaluation set:
- Loss: 0.7212
- Accuracy: 0.7863
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 0.6876 | 1.0 | 3068 | 0.7671 | 0.5670 |
| 0.5323 | 2.0 | 6136 | 0.7972 | 0.5189 |
| 0.4652 | 3.0 | 9204 | 0.7928 | 0.5346 |
| 0.4089 | 4.0 | 12272 | 0.7940 | 0.5392 |
| 0.3614 | 5.0 | 15340 | 0.8092 | 0.5477 |
| 0.3173 | 6.0 | 18408 | 0.7920 | 0.6186 |
| 0.2805 | 7.0 | 21476 | 0.7936 | 0.6323 |
| 0.2496 | 8.0 | 24544 | 0.7960 | 0.6574 |
| 0.2246 | 9.0 | 27612 | 0.6894 | 0.7880 |
| 0.2068 | 10.0 | 30680 | 0.7212 | 0.7863 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Dec 12, 2022
- Updated
- Jan 7, 2023