metadata
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: []
distilbert-base-multilingual-cased_regression_finetuned_mobile01_all
This model is a fine-tuned version of 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