metadata
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IKT_classifier_transport_ghg_best
results: []
IKT_classifier_transport_ghg_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: 0.4963
- Precision Macro: 0.9175
- Precision Weighted: 0.8942
- Recall Macro: 0.9156
- Recall Weighted: 0.8936
- F1-score: 0.9162
- Accuracy: 0.8936
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: 6.900299287565753e-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
- lr_scheduler_warmup_steps: 100.0
- 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 | 53 | 0.3979 | 0.8806 | 0.8800 | 0.8964 | 0.8723 | 0.8819 | 0.8723 |
| No log | 2.0 | 106 | 0.7787 | 0.8428 | 0.8005 | 0.7377 | 0.7872 | 0.7695 | 0.7872 |
| No log | 3.0 | 159 | 0.4507 | 0.9028 | 0.8747 | 0.8981 | 0.8723 | 0.8990 | 0.8723 |
| No log | 4.0 | 212 | 0.7270 | 0.9019 | 0.8752 | 0.8680 | 0.8723 | 0.8830 | 0.8723 |
| No log | 5.0 | 265 | 0.4963 | 0.9175 | 0.8942 | 0.9156 | 0.8936 | 0.9162 | 0.8936 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3