metadata
base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
tags:
- generated_from_trainer
model-index:
- name: dfm_ND
results: []
dfm_ND
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: 0.1062
- F1-score: 0.9886
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.3693 | 1.0 | 1057 | 0.5857 | 0.7432 |
| 0.1394 | 2.0 | 2114 | 0.1865 | 0.9538 |
| 0.0763 | 3.0 | 3171 | 0.2028 | 0.9537 |
| 0.0321 | 4.0 | 4228 | 0.1507 | 0.9759 |
| 0.0262 | 5.0 | 5285 | 0.1757 | 0.9752 |
| 0.0187 | 6.0 | 6342 | 0.1567 | 0.9786 |
| 0.0145 | 7.0 | 7399 | 0.1145 | 0.9846 |
| 0.002 | 8.0 | 8456 | 0.1090 | 0.9873 |
| 0.0039 | 9.0 | 9513 | 0.1237 | 0.9866 |
| 0.0036 | 10.0 | 10570 | 0.1062 | 0.9886 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1