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deberta-v3-large-finetuned-ner-10epochs
ABrinkmann/deberta-v3-large-finetuned-ner-10epochs
deberta-v3-large-finetuned-ner-10epochs is a token classification model from ABrinkmann. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 12, 2023
- Updated
- Jun 12, 2023
- SHA
- 7ac9e650
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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. -->
deberta-v3-large-finetuned-ner-10epochs
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0776
- Precision: 0.9247
- Recall: 0.9531
- F1: 0.9387
- Accuracy: 0.9890
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: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0415 | 1.0 | 2261 | 0.0479 | 0.8894 | 0.9572 | 0.9220 | 0.9861 |
| 0.039 | 2.0 | 4522 | 0.0415 | 0.9051 | 0.9498 | 0.9269 | 0.9871 |
| 0.0304 | 3.0 | 6783 | 0.0390 | 0.9086 | 0.9579 | 0.9326 | 0.9883 |
| 0.0275 | 4.0 | 9044 | 0.0383 | 0.9146 | 0.9528 | 0.9333 | 0.9887 |
| 0.0224 | 5.0 | 11305 | 0.0421 | 0.9122 | 0.9583 | 0.9346 | 0.9884 |
| 0.0172 | 6.0 | 13566 | 0.0459 | 0.9204 | 0.9568 | 0.9382 | 0.9890 |
| 0.0122 | 7.0 | 15827 | 0.0561 | 0.9273 | 0.9429 | 0.9350 | 0.9885 |
| 0.0096 | 8.0 | 18088 | 0.0616 | 0.9223 | 0.9568 | 0.9393 | 0.9891 |
| 0.0051 | 9.0 | 20349 | 0.0718 | 0.9240 | 0.9568 | 0.9401 | 0.9890 |
| 0.0034 | 10.0 | 22610 | 0.0776 | 0.9247 | 0.9531 | 0.9387 | 0.9890 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 12, 2023
- Updated
- Jun 12, 2023