---
license: mit
base_model: BAAI/bge-small-en-v1.5
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: best_model
  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. -->

# best_model

This model is a fine-tuned version of [BAAI/bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2144
- Accuracy: 1.0

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 14   | 1.5615          | 0.7826   |
| No log        | 2.0   | 28   | 1.2408          | 0.8913   |
| No log        | 3.0   | 42   | 0.9712          | 0.9130   |
| No log        | 4.0   | 56   | 0.7769          | 0.9783   |
| No log        | 5.0   | 70   | 0.6251          | 1.0      |
| No log        | 6.0   | 84   | 0.5102          | 1.0      |
| No log        | 7.0   | 98   | 0.4342          | 1.0      |
| No log        | 8.0   | 112  | 0.3669          | 1.0      |
| No log        | 9.0   | 126  | 0.3205          | 1.0      |
| No log        | 10.0  | 140  | 0.2853          | 1.0      |
| No log        | 11.0  | 154  | 0.2599          | 1.0      |
| No log        | 12.0  | 168  | 0.2426          | 1.0      |
| No log        | 13.0  | 182  | 0.2309          | 1.0      |
| No log        | 14.0  | 196  | 0.2245          | 1.0      |
| No log        | 15.0  | 210  | 0.2224          | 1.0      |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Tokenizers 0.15.0