---
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-multilingual-cased_regression_finetuned_mobile01_all
  results: []
---

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# distilbert-base-multilingual-cased_regression_finetuned_mobile01_all

This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8284
- Mse: 1.8284
- Mae: 0.9848

## 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: 0.0002
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
| 1.7467        | 1.0   | 7789  | 1.8329          | 1.8329 | 0.9821 |
| 1.9294        | 2.0   | 15578 | 1.8363          | 1.8363 | 0.9819 |
| 1.6483        | 3.0   | 23367 | 1.8282          | 1.8282 | 0.9856 |
| 1.9471        | 4.0   | 31156 | 1.8284          | 1.8284 | 0.9848 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2