---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231008-2-distilbert-base-multilingual-cased-new
  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. -->

# 20231008-2-distilbert-base-multilingual-cased-new

This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.5483
- Loss: 1.8877

## 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: 20

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 2.9855        | 1.82  | 200  | 0.3753   | 2.6688          |
| 2.5641        | 3.64  | 400  | 0.436    | 2.2769          |
| 2.385         | 5.45  | 600  | 0.4970   | 2.3584          |
| 2.2444        | 7.27  | 800  | 0.5095   | 1.9800          |
| 2.1422        | 9.09  | 1000 | 0.5072   | 2.1302          |
| 2.0398        | 10.91 | 1200 | 0.5717   | 1.9107          |
| 2.0215        | 12.73 | 1400 | 0.5435   | 1.9803          |
| 1.9611        | 14.55 | 1600 | 0.5678   | 1.9622          |
| 1.928         | 16.36 | 1800 | 0.5253   | 1.9510          |
| 1.8712        | 18.18 | 2000 | 0.5711   | 1.6620          |
| 1.8322        | 20.0  | 2200 | 0.5483   | 1.8877          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1