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models228
sheduele/models228
models228 is a token classification model from sheduele. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 29, 2023
- Updated
- Jun 29, 2023
- SHA
- 30ca020b
Try a prompt
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. -->
models228
This model is a fine-tuned version of IlyaGusev/rubert_ext_sum_gazeta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2456
- Precision: 0.7118
- Recall: 0.7530
- F1: 0.7319
- Accuracy: 0.9205
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 172 | 0.2966 | 0.6210 | 0.6494 | 0.6349 | 0.9149 |
| No log | 2.0 | 344 | 0.2456 | 0.7118 | 0.7530 | 0.7319 | 0.9205 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 29, 2023
- Updated
- Jun 29, 2023