metadata
library_name: transformers
license: mit
base_model: KennethEnevoldsen/dfm-sentence-encoder-large
tags:
- generated_from_trainer
model-index:
- name: dfm_ED3
results: []
dfm_ED3
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: 0.4093
- F1-score: 0.9174
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 | 69 | 0.6188 | 0.7853 |
| No log | 2.0 | 138 | 0.5757 | 0.8835 |
| No log | 3.0 | 207 | 0.4093 | 0.9174 |
| No log | 4.0 | 276 | 0.6598 | 0.8934 |
| No log | 5.0 | 345 | 0.7089 | 0.9096 |
| No log | 6.0 | 414 | 0.6522 | 0.9096 |
| No log | 7.0 | 483 | 0.6856 | 0.9096 |
| 0.1214 | 8.0 | 552 | 0.6935 | 0.9096 |
| 0.1214 | 9.0 | 621 | 0.6891 | 0.9096 |
| 0.1214 | 10.0 | 690 | 0.6906 | 0.9096 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1