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xlm-roberta-base-finetuned-wikiann-pl
askovr0n/xlm-roberta-base-finetuned-wikiann-pl
xlm-roberta-base-finetuned-wikiann-pl is a machine learning model from askovr0n. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jan 18, 2025
- Updated
- Jan 19, 2025
- SHA
- a6261314
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. -->
xlm-roberta-base-finetuned-wikiann-pl
This model is a fine-tuned version of xlm-roberta-base on the wikiann dataset. It achieves the following results on the evaluation set:
- Loss: 0.1977
- F1: 0.8582
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4857 | 1.0 | 191 | 0.2396 | 0.8161 |
| 0.1993 | 2.0 | 382 | 0.2064 | 0.8409 |
| 0.1181 | 3.0 | 573 | 0.1977 | 0.8582 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.5.1+cu121
- Datasets 1.16.1
- Tokenizers 0.21.0
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 18, 2025
- Updated
- Jan 19, 2025