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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5702
- Accuracy: 0.7894
- Precision: 0.7913
- Recall: 0.7040
- F1: 0.7144
- Hamming Loss: 0.2106
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming Loss |
|---|---|---|---|---|---|---|---|---|
| 1.435 | 1.0 | 1744 | 1.2662 | 0.5627 | 0.6403 | 0.4392 | 0.4707 | 0.4373 |
| 1.19 | 2.0 | 3488 | 1.0175 | 0.6358 | 0.6749 | 0.5311 | 0.5571 | 0.3642 |
| 0.9496 | 3.0 | 5232 | 0.8298 | 0.6934 | 0.7166 | 0.5916 | 0.6132 | 0.3066 |
| 0.8226 | 4.0 | 6976 | 0.7224 | 0.7306 | 0.7447 | 0.6371 | 0.6561 | 0.2694 |
| 0.7113 | 5.0 | 8720 | 0.6609 | 0.7514 | 0.7628 | 0.6583 | 0.6742 | 0.2486 |
| 0.6497 | 6.0 | 10464 | 0.6153 | 0.7724 | 0.7717 | 0.6904 | 0.6980 | 0.2276 |
| 0.5997 | 7.0 | 12208 | 0.5822 | 0.7863 | 0.7945 | 0.6967 | 0.7105 | 0.2137 |
| 0.571 | 8.0 | 13952 | 0.5702 | 0.7894 | 0.7913 | 0.7040 | 0.7144 | 0.2106 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3