metadata
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_economywide_best
results: []
IKT_classifier_economywide_best
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1184
- Precision Macro: 0.9615
- Precision Weighted: 0.9630
- Recall Macro: 0.9635
- Recall Weighted: 0.9623
- F1-score: 0.9621
- Accuracy: 0.9623
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: 7.132195091261459e-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
- lr_scheduler_warmup_steps: 300.0
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision Macro | Precision Weighted | Recall Macro | Recall Weighted | F1-score | Accuracy |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 60 | 0.4189 | 0.9426 | 0.9442 | 0.9445 | 0.9434 | 0.9432 | 0.9434 |
| No log | 2.0 | 120 | 0.1438 | 0.9521 | 0.9531 | 0.9533 | 0.9528 | 0.9526 | 0.9528 |
| No log | 3.0 | 180 | 0.1119 | 0.9615 | 0.9630 | 0.9635 | 0.9623 | 0.9621 | 0.9623 |
| No log | 4.0 | 240 | 0.1477 | 0.9521 | 0.9531 | 0.9533 | 0.9528 | 0.9526 | 0.9528 |
| No log | 5.0 | 300 | 0.1184 | 0.9615 | 0.9630 | 0.9635 | 0.9623 | 0.9621 | 0.9623 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3