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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-multilingual-cased_regression_finetuned_news_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: 1.7168
- Mse: 1.7168
- Mae: 0.9618

## 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    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 1.815         | 1.0   | 21755  | 1.7168          | 1.7168 | 0.9622 |
| 1.6414        | 2.0   | 43510  | 1.7167          | 1.7167 | 0.9620 |
| 1.6485        | 3.0   | 65265  | 1.7171          | 1.7171 | 0.9614 |
| 1.7803        | 4.0   | 87020  | 1.7168          | 1.7168 | 0.9619 |
| 1.6427        | 5.0   | 108775 | 1.7173          | 1.7173 | 0.9613 |
| 1.6436        | 6.0   | 130530 | 1.7170          | 1.7170 | 0.9615 |
| 1.7037        | 7.0   | 152285 | 1.7168          | 1.7168 | 0.9618 |


### Framework versions

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