|
--- |
|
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 |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 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 |
|
|
