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distilBERT-fresh_10epoch
troesy/distilBERT-fresh_10epoch
distilBERT-fresh_10epoch is a token classification model from troesy. 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
- Nov 4, 2022
- Updated
- Nov 4, 2022
- SHA
- f122ceec
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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. -->
distilBERT-fresh_10epoch
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0234
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9935
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: 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 | 174 | 0.1913 | 0.0 | 0.0 | 0.0 | 0.9312 |
| No log | 2.0 | 348 | 0.1431 | 0.0 | 0.0 | 0.0 | 0.9507 |
| 0.2211 | 3.0 | 522 | 0.1053 | 0.0 | 0.0 | 0.0 | 0.9640 |
| 0.2211 | 4.0 | 696 | 0.0770 | 0.0 | 0.0 | 0.0 | 0.9746 |
| 0.2211 | 5.0 | 870 | 0.0581 | 0.0 | 0.0 | 0.0 | 0.9820 |
| 0.0995 | 6.0 | 1044 | 0.0461 | 0.0 | 0.0 | 0.0 | 0.9862 |
| 0.0995 | 7.0 | 1218 | 0.0376 | 0.0 | 0.0 | 0.0 | 0.9886 |
| 0.0995 | 8.0 | 1392 | 0.0290 | 0.0 | 0.0 | 0.0 | 0.9915 |
| 0.054 | 9.0 | 1566 | 0.0238 | 0.0 | 0.0 | 0.0 | 0.9934 |
| 0.054 | 10.0 | 1740 | 0.0234 | 0.0 | 0.0 | 0.0 | 0.9935 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 4, 2022
- Updated
- Nov 4, 2022