dfm_NC
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: 0.2386
- F1-score: 0.9231
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 |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.2541 | 0.9087 |
| No log | 2.0 | 80 | 0.2386 | 0.9231 |
| No log | 3.0 | 120 | 0.2399 | 0.9199 |
| No log | 4.0 | 160 | 0.3668 | 0.9093 |
| No log | 5.0 | 200 | 0.4189 | 0.9093 |
| No log | 6.0 | 240 | 0.6241 | 0.8760 |
| No log | 7.0 | 280 | 0.5370 | 0.9093 |
| No log | 8.0 | 320 | 0.6048 | 0.9025 |
| No log | 9.0 | 360 | 0.6588 | 0.8891 |
| No log | 10.0 | 400 | 0.5380 | 0.9093 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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