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LKD_Experience_CV4
joshnielsen876/LKD_Experience_CV4
LKD_Experience_CV4 is a text classification model from joshnielsen876. Use it when you need a label for a piece of text. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 24, 2023
- Updated
- Mar 27, 2023
- SHA
- 17fdd5bc
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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. -->
LKD_Experience_CV4
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2443
- Accuracy: 0.9244
- F1: 0.9158
- Precision: 0.9240
- Recall: 0.9091
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 48 | 0.4809 | 0.7311 | 0.6063 | 0.8532 | 0.6190 |
| No log | 2.0 | 96 | 0.3551 | 0.8908 | 0.8716 | 0.9157 | 0.8506 |
| No log | 3.0 | 144 | 0.2712 | 0.9244 | 0.9158 | 0.9240 | 0.9091 |
| No log | 4.0 | 192 | 0.2508 | 0.9244 | 0.9158 | 0.9240 | 0.9091 |
| No log | 5.0 | 240 | 0.2443 | 0.9244 | 0.9158 | 0.9240 | 0.9091 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 24, 2023
- Updated
- Mar 27, 2023