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liberta-large-upos
izaitova/liberta-large-upos
liberta-large-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
- Oct 3, 2024
- Updated
- Oct 3, 2024
- SHA
- 6e8b8e49
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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. -->
liberta-large-upos
This model is a fine-tuned version of Goader/liberta-large on the universal_dependencies dataset. It achieves the following results on the evaluation set:
- Loss: 0.3346
- Precision: 0.8101
- Recall: 0.7466
- F1: 0.7542
- Accuracy: 0.8675
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 | 338 | 1.0412 | 0.5939 | 0.4306 | 0.4617 | 0.5790 |
| No log | 2.0 | 676 | 0.6850 | 0.6114 | 0.5788 | 0.5745 | 0.7115 |
| No log | 3.0 | 1014 | 0.6075 | 0.6787 | 0.6205 | 0.6241 | 0.7389 |
| No log | 4.0 | 1352 | 0.5585 | 0.7178 | 0.6393 | 0.6425 | 0.7608 |
| No log | 5.0 | 1690 | 0.4762 | 0.7424 | 0.6737 | 0.6874 | 0.7984 |
| No log | 6.0 | 2028 | 0.4203 | 0.7159 | 0.6962 | 0.6946 | 0.8228 |
| No log | 7.0 | 2366 | 0.4275 | 0.7403 | 0.7081 | 0.7028 | 0.8205 |
| No log | 8.0 | 2704 | 0.3789 | 0.7909 | 0.7189 | 0.7282 | 0.8470 |
| No log | 9.0 | 3042 | 0.3431 | 0.8051 | 0.7415 | 0.7484 | 0.8626 |
| No log | 10.0 | 3380 | 0.3346 | 0.8101 | 0.7466 | 0.7542 | 0.8675 |
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
- Oct 3, 2024
- Updated
- Oct 3, 2024