metadata
base_model: distilbert-base-multilingual-cased
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-multilingual-cased-en
results: []
distilbert-base-multilingual-cased-en
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3298
- Accuracy: 0.8909
- F1: 0.8908
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7829 | 0.3524 | 500 | 0.4586 | 0.8596 | 0.8473 |
| 0.4282 | 0.7047 | 1000 | 0.3733 | 0.8759 | 0.8709 |
| 0.3631 | 1.0571 | 1500 | 0.3518 | 0.8826 | 0.8810 |
| 0.3082 | 1.4094 | 2000 | 0.3330 | 0.8854 | 0.8827 |
| 0.2862 | 1.7618 | 2500 | 0.3304 | 0.8890 | 0.8885 |
| 0.2545 | 2.1142 | 3000 | 0.3342 | 0.8901 | 0.8887 |
| 0.2307 | 2.4665 | 3500 | 0.3298 | 0.8909 | 0.8908 |
| 0.2246 | 2.8189 | 4000 | 0.3253 | 0.8907 | 0.8910 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1