|
--- |
|
license: apache-2.0 |
|
base_model: sentence-transformers/all-MiniLM-L6-v2 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: all-MiniLM-L6-v2-personal-project-finetuned-2024-03-22 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# all-MiniLM-L6-v2-personal-project-finetuned-2024-03-22 |
|
|
|
This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 7.4935 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 3.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 9.5042 | 1.0 | 15 | 8.1457 | |
|
| 8.0856 | 2.0 | 30 | 7.7083 | |
|
| 7.7628 | 3.0 | 45 | 7.5659 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
