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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: 0.1595
- Precision Macro: 0.9521
- Precision Weighted: 0.9531
- Recall Macro: 0.9533
- Recall Weighted: 0.9528
- F1-score: 0.9526
- Accuracy: 0.9528
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 | 0.1380 | 0.9521 | 0.9531 | 0.9533 | 0.9528 | 0.9526 | 0.9528 |
| No log | 2.0 | 120 | 0.1855 | 0.9523 | 0.9545 | 0.9547 | 0.9528 | 0.9527 | 0.9528 |
| No log | 3.0 | 180 | 0.1977 | 0.9523 | 0.9545 | 0.9547 | 0.9528 | 0.9527 | 0.9528 |
| No log | 4.0 | 240 | 0.1249 | 0.9723 | 0.9718 | 0.9708 | 0.9717 | 0.9715 | 0.9717 |
| No log | 5.0 | 300 | 0.1595 | 0.9521 | 0.9531 | 0.9533 | 0.9528 | 0.9526 | 0.9528 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
