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dfm_NCS
yemen2016/dfm_NCS
dfm_NCS is a text classification model from yemen2016. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024
- SHA
- 3635595e
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Base models
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. -->
dfm_NCS
This model is a fine-tuned version of KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4472
- F1-score: 0.8111
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: 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 | F1-score |
|---|---|---|---|---|
| 0.493 | 1.0 | 504 | 0.4472 | 0.8111 |
| 0.349 | 2.0 | 1008 | 0.5058 | 0.8008 |
| 0.1692 | 3.0 | 1512 | 0.8419 | 0.7978 |
| 0.0965 | 4.0 | 2016 | 1.2206 | 0.7873 |
| 0.0318 | 5.0 | 2520 | 1.5007 | 0.7884 |
| 0.0193 | 6.0 | 3024 | 1.6686 | 0.7958 |
| 0.0085 | 7.0 | 3528 | 1.8701 | 0.7901 |
| 0.0075 | 8.0 | 4032 | 1.8387 | 0.7957 |
| 0.0057 | 9.0 | 4536 | 1.8554 | 0.7996 |
| 0.0006 | 10.0 | 5040 | 1.8654 | 0.7999 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024