metadata
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_target_best
results: []
IKT_classifier_target_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: 0.2820
- Precision Macro: 0.9487
- Precision Weighted: 0.9455
- Recall Macro: 0.9378
- Recall Weighted: 0.9423
- F1-score: 0.9412
- Accuracy: 0.9423
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: 4.055539898211945e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400.0
- 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 | 467 | 0.3171 | 0.9197 | 0.9179 | 0.9131 | 0.9167 | 0.9154 | 0.9167 |
| 0.4991 | 2.0 | 934 | 0.2515 | 0.9197 | 0.9179 | 0.9131 | 0.9167 | 0.9154 | 0.9167 |
| 0.4101 | 3.0 | 1401 | 0.2636 | 0.9407 | 0.9381 | 0.9319 | 0.9359 | 0.9348 | 0.9359 |
| 0.2713 | 4.0 | 1868 | 0.2515 | 0.9487 | 0.9455 | 0.9378 | 0.9423 | 0.9412 | 0.9423 |
| 0.2038 | 5.0 | 2335 | 0.2820 | 0.9487 | 0.9455 | 0.9378 | 0.9423 | 0.9412 | 0.9423 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3