---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mini_text_classification_finetune_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. -->

# mini_text_classification_finetune_model

This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2095
- Accuracy: 0.3333

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 1    | 1.3045          | 0.3333   |
| No log        | 2.0   | 2    | 1.2998          | 0.3333   |
| No log        | 3.0   | 3    | 1.2947          | 0.3333   |
| No log        | 4.0   | 4    | 1.2899          | 0.3333   |
| No log        | 5.0   | 5    | 1.2851          | 0.3333   |
| No log        | 6.0   | 6    | 1.2809          | 0.3333   |
| No log        | 7.0   | 7    | 1.2766          | 0.3333   |
| No log        | 8.0   | 8    | 1.2721          | 0.3333   |
| No log        | 9.0   | 9    | 1.2684          | 0.3333   |
| No log        | 10.0  | 10   | 1.2645          | 0.3333   |
| No log        | 11.0  | 11   | 1.2607          | 0.3333   |
| No log        | 12.0  | 12   | 1.2567          | 0.3333   |
| No log        | 13.0  | 13   | 1.2528          | 0.3333   |
| No log        | 14.0  | 14   | 1.2490          | 0.3333   |
| No log        | 15.0  | 15   | 1.2451          | 0.3333   |
| No log        | 16.0  | 16   | 1.2413          | 0.3333   |
| No log        | 17.0  | 17   | 1.2377          | 0.3333   |
| No log        | 18.0  | 18   | 1.2342          | 0.3333   |
| No log        | 19.0  | 19   | 1.2307          | 0.3333   |
| No log        | 20.0  | 20   | 1.2275          | 0.3333   |
| No log        | 21.0  | 21   | 1.2244          | 0.3333   |
| No log        | 22.0  | 22   | 1.2215          | 0.3333   |
| No log        | 23.0  | 23   | 1.2190          | 0.3333   |
| No log        | 24.0  | 24   | 1.2167          | 0.3333   |
| No log        | 25.0  | 25   | 1.2147          | 0.3333   |
| No log        | 26.0  | 26   | 1.2130          | 0.3333   |
| No log        | 27.0  | 27   | 1.2116          | 0.3333   |
| No log        | 28.0  | 28   | 1.2105          | 0.3333   |
| No log        | 29.0  | 29   | 1.2098          | 0.3333   |
| No log        | 30.0  | 30   | 1.2095          | 0.3333   |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3