metadata
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: new_classifier_model
results: []
new_classifier_model
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4181
- Accuracy: 0.9193
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: 2e-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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5772 | 1.0 | 762 | 0.3256 | 0.9062 |
| 0.2692 | 2.0 | 1524 | 0.3038 | 0.9163 |
| 0.217 | 3.0 | 2286 | 0.3109 | 0.9180 |
| 0.1773 | 4.0 | 3048 | 0.3160 | 0.9209 |
| 0.1619 | 5.0 | 3810 | 0.3440 | 0.9206 |
| 0.1329 | 6.0 | 4572 | 0.3675 | 0.9160 |
| 0.1165 | 7.0 | 5334 | 0.3770 | 0.9209 |
| 0.0943 | 8.0 | 6096 | 0.4012 | 0.9203 |
| 0.085 | 9.0 | 6858 | 0.4166 | 0.9196 |
| 0.0811 | 10.0 | 7620 | 0.4181 | 0.9193 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cpu
- Datasets 2.14.7
- Tokenizers 0.14.1