metadata
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- regression
- generated_from_trainer
model-index:
- name: stsb-all-MiniLM-L6-v2
results: []
stsb-all-MiniLM-L6-v2
This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0311
- Pearson: 0.8285
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 360 | 0.0374 | 0.7837 |
| 0.0493 | 2.0 | 720 | 0.0433 | 0.8052 |
| 0.022 | 3.0 | 1080 | 0.0342 | 0.8187 |
| 0.022 | 4.0 | 1440 | 0.0298 | 0.8296 |
| 0.0159 | 5.0 | 1800 | 0.0311 | 0.8285 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0