metadata
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: NEW_trained_croatian
results: []
NEW_trained_croatian
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0765
- Precision: 0.8550
- Recall: 0.8843
- F1: 0.8694
- Accuracy: 0.9820
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 432 | 0.0736 | 0.8088 | 0.8478 | 0.8278 | 0.9774 |
| 0.1113 | 2.0 | 865 | 0.0739 | 0.8574 | 0.8696 | 0.8634 | 0.9804 |
| 0.0296 | 3.0 | 1297 | 0.0755 | 0.8494 | 0.8753 | 0.8621 | 0.9816 |
| 0.0112 | 4.0 | 1728 | 0.0765 | 0.8550 | 0.8843 | 0.8694 | 0.9820 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2