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# all-MiniLM-L6-v2-personal-project-finetuned-2024-02-16

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: 7.9426

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.1328       | 1.0   | 10   | 8.9404          |
| 8.683         | 2.0   | 20   | 8.1479          |
| 8.1871        | 3.0   | 30   | 7.8935          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "model-index": [{"name": "all-MiniLM-L6-v2-personal-project-finetuned-2024-02-16", "results": []}]}
transformers tensorboard safetensors bert fill-mask generated_from_trainer base_model:sentence-transformers/all-MiniLM-L6-v2 license:apache-2.0 autotrain_compatible endpoints_compatible region:us