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dfm2_FGN
yemen2016/dfm2_FGN
dfm2_FGN 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
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- 4360a57a
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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. -->
dfm2_FGN
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: 1.1487
- F1-score: 0.8233
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: 5e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 120 | 0.5474 | 0.7676 |
| No log | 2.0 | 240 | 0.7339 | 0.7596 |
| No log | 3.0 | 360 | 0.6433 | 0.7897 |
| No log | 4.0 | 480 | 0.9757 | 0.8049 |
| 0.4762 | 5.0 | 600 | 1.2749 | 0.7930 |
| 0.4762 | 6.0 | 720 | 1.0429 | 0.8197 |
| 0.4762 | 7.0 | 840 | 1.2813 | 0.7794 |
| 0.4762 | 8.0 | 960 | 1.1487 | 0.8233 |
| 0.0694 | 9.0 | 1080 | 1.4694 | 0.8015 |
| 0.0694 | 10.0 | 1200 | 1.5677 | 0.7864 |
| 0.0694 | 11.0 | 1320 | 1.4541 | 0.7916 |
| 0.0694 | 12.0 | 1440 | 1.4474 | 0.7941 |
| 0.0235 | 13.0 | 1560 | 1.4064 | 0.7958 |
| 0.0235 | 14.0 | 1680 | 1.4497 | 0.8008 |
| 0.0235 | 15.0 | 1800 | 1.3708 | 0.8058 |
| 0.0235 | 16.0 | 1920 | 1.4052 | 0.8058 |
| 0.0122 | 17.0 | 2040 | 1.3883 | 0.8115 |
| 0.0122 | 18.0 | 2160 | 1.4286 | 0.8126 |
| 0.0122 | 19.0 | 2280 | 1.4478 | 0.8066 |
| 0.0122 | 20.0 | 2400 | 1.4547 | 0.8066 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024