metadata
license: mit
base_model: KennethEnevoldsen/dfm-sentence-encoder-large
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 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4530
- F1-score: 0.8129
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 |
|---|---|---|---|---|
| No log | 1.0 | 223 | 0.4530 | 0.8129 |
| No log | 2.0 | 446 | 0.5402 | 0.7001 |
| 0.4792 | 3.0 | 669 | 0.5906 | 0.6259 |
| 0.4792 | 4.0 | 892 | 0.5939 | 0.6259 |
| 0.5915 | 5.0 | 1115 | 0.5770 | 0.6259 |
| 0.5915 | 6.0 | 1338 | 0.5759 | 0.6259 |
| 0.5876 | 7.0 | 1561 | 0.5758 | 0.6259 |
| 0.5876 | 8.0 | 1784 | 0.5800 | 0.6333 |
| 0.5821 | 9.0 | 2007 | 0.5794 | 0.6259 |
| 0.5821 | 10.0 | 2230 | 0.5727 | 0.6333 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1