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token_fine_tunned_flipkart_2_gl9
vinayak361/token_fine_tunned_flipkart_2_gl9
token_fine_tunned_flipkart_2_gl9 is a token classification model from vinayak361. 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
- distilbert
- Access
- Public
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023
- SHA
- a7688fe9
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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. -->
token_fine_tunned_flipkart_2_gl9
This model is a fine-tuned version of vinayak361/token_fine_tunned_flipkart_2_gl7 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2452
- Precision: 0.8593
- Recall: 0.8767
- F1: 0.8679
- Accuracy: 0.9105
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-06
- train_batch_size: 16
- eval_batch_size: 16
- 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 | 451 | 0.3331 | 0.8070 | 0.8310 | 0.8188 | 0.8774 |
| 0.4065 | 2.0 | 902 | 0.2927 | 0.8319 | 0.8526 | 0.8421 | 0.8940 |
| 0.3251 | 3.0 | 1353 | 0.2737 | 0.8428 | 0.8633 | 0.8529 | 0.9021 |
| 0.2825 | 4.0 | 1804 | 0.2650 | 0.8484 | 0.8651 | 0.8567 | 0.9046 |
| 0.2568 | 5.0 | 2255 | 0.2586 | 0.8543 | 0.8749 | 0.8645 | 0.9085 |
| 0.2419 | 6.0 | 2706 | 0.2511 | 0.8552 | 0.8754 | 0.8652 | 0.9083 |
| 0.2351 | 7.0 | 3157 | 0.2481 | 0.8564 | 0.8746 | 0.8654 | 0.9102 |
| 0.2226 | 8.0 | 3608 | 0.2455 | 0.8551 | 0.8746 | 0.8647 | 0.9089 |
| 0.222 | 9.0 | 4059 | 0.2458 | 0.8597 | 0.8769 | 0.8682 | 0.9106 |
| 0.2207 | 10.0 | 4510 | 0.2452 | 0.8593 | 0.8767 | 0.8679 | 0.9105 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 14, 2023
- Updated
- Feb 14, 2023