metadata
license: apache-2.0
base_model: sentence-transformers/all-mpnet-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: task-embedder
results: []
task-embedder
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2775
- Accuracy: 0.5753
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: 5e-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
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.6652 | 1.0 | 83 | 4.2850 | 0.3649 |
| 3.9443 | 2.0 | 166 | 3.5407 | 0.4281 |
| 3.3575 | 3.0 | 249 | 3.1092 | 0.4710 |
| 3.084 | 4.0 | 332 | 2.8743 | 0.4962 |
| 2.8764 | 5.0 | 415 | 2.7020 | 0.5211 |
| 2.7367 | 6.0 | 498 | 2.6699 | 0.5188 |
| 2.6275 | 7.0 | 581 | 2.5638 | 0.5404 |
| 2.5257 | 8.0 | 664 | 2.5348 | 0.5430 |
| 2.4742 | 9.0 | 747 | 2.4302 | 0.5591 |
| 2.4238 | 10.0 | 830 | 2.4159 | 0.5577 |
| 2.3516 | 11.0 | 913 | 2.3461 | 0.5741 |
| 2.3115 | 12.0 | 996 | 2.3291 | 0.5728 |
| 2.29 | 13.0 | 1079 | 2.3577 | 0.5698 |
| 2.2412 | 14.0 | 1162 | 2.3473 | 0.5674 |
| 2.245 | 15.0 | 1245 | 2.3113 | 0.5720 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1