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herbert-large-cased-upos
izaitova/herbert-large-cased-upos
herbert-large-cased-upos is a token classification model from izaitova. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Oct 3, 2024
- SHA
- ff6f1bf7
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Base models
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. -->
herbert-large-cased-upos
This model is a fine-tuned version of allegro/herbert-large-cased on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 0.0611
- Precision: 0.9166
- Recall: 0.8826
- F1: 0.8928
- Accuracy: 0.9828
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 438 | 0.2798 | 0.8362 | 0.8222 | 0.8271 | 0.8779 |
| No log | 2.0 | 876 | 0.1613 | 0.9287 | 0.8511 | 0.8677 | 0.9240 |
| No log | 3.0 | 1314 | 0.0967 | 0.8845 | 0.8530 | 0.8562 | 0.9539 |
| No log | 4.0 | 1752 | 0.0917 | 0.9103 | 0.8461 | 0.8657 | 0.9629 |
| No log | 5.0 | 2190 | 0.0782 | 0.8965 | 0.8704 | 0.8764 | 0.9666 |
| No log | 6.0 | 2628 | 0.0766 | 0.8973 | 0.8704 | 0.8767 | 0.9691 |
| No log | 7.0 | 3066 | 0.0634 | 0.9171 | 0.8811 | 0.8923 | 0.9790 |
| No log | 8.0 | 3504 | 0.0626 | 0.9139 | 0.8909 | 0.8989 | 0.9796 |
| No log | 9.0 | 3942 | 0.0675 | 0.9131 | 0.8792 | 0.8893 | 0.9803 |
| No log | 10.0 | 4380 | 0.0611 | 0.9166 | 0.8826 | 0.8928 | 0.9828 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-4.0
- Created
- Aug 22, 2024
- Updated
- Oct 3, 2024