|
--- |
|
license: apache-2.0 |
|
base_model: distilbert/distilbert-base-multilingual-cased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: distilbert-base-multilingual-cased_regression_finetuned_ptt |
|
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_ptt |
|
|
|
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: 1.8809 |
|
- Mse: 1.8809 |
|
- Mae: 1.0160 |
|
- Rmse: 1.3715 |
|
- Mape: inf |
|
- R Squared: 0.0000 |
|
|
|
## 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: 3e-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: cosine |
|
- lr_scheduler_warmup_steps: 206 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | Rmse | Mape | R Squared | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:----:|:---------:| |
|
| 1.9028 | 1.0 | 2062 | 1.8809 | 1.8809 | 1.0147 | 1.3715 | inf | 0.0000 | |
|
| 1.9381 | 2.0 | 4124 | 1.8831 | 1.8831 | 1.0177 | 1.3723 | inf | -0.0011 | |
|
| 1.8691 | 3.0 | 6186 | 1.8809 | 1.8809 | 1.0160 | 1.3715 | inf | 0.0000 | |
|
| 1.7741 | 4.0 | 8248 | 1.8809 | 1.8809 | 1.0153 | 1.3715 | inf | 0.0000 | |
|
| 1.6734 | 5.0 | 10310 | 1.8809 | 1.8809 | 1.0143 | 1.3715 | inf | 0.0000 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
