metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: results
results: []
results
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5117
- Accuracy: 0.7169
- Precision: 0.6803
- Recall: 0.6642
- F1: 0.6693
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: 5e-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: linear
- num_epochs: 999
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7606 | 1.0 | 761 | 0.6333 | 0.7228 | 0.6856 | 0.6831 | 0.6819 |
| 0.4448 | 2.0 | 1522 | 0.6450 | 0.7320 | 0.6983 | 0.7065 | 0.7011 |
| 1.0076 | 3.0 | 2283 | 0.6573 | 0.7346 | 0.7038 | 0.7153 | 0.7069 |
| 0.1369 | 4.0 | 3044 | 0.8941 | 0.7248 | 0.6855 | 0.6762 | 0.6796 |
| 0.0096 | 5.0 | 3805 | 1.1590 | 0.7264 | 0.6874 | 0.6911 | 0.6889 |
| 0.0728 | 6.0 | 4566 | 1.2896 | 0.7366 | 0.7001 | 0.6875 | 0.6910 |
| 0.0007 | 7.0 | 5327 | 1.5882 | 0.7297 | 0.7027 | 0.6787 | 0.6825 |
| 0.0106 | 8.0 | 6088 | 1.5117 | 0.7169 | 0.6803 | 0.6642 | 0.6693 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2