metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-multilingual-sentiment
results: []
distilbert-multilingual-sentiment
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: 1.3550
- Accuracy: 0.7609
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7301 | 1.0 | 1065 | 0.7257 | 0.6952 |
| 0.4373 | 2.0 | 2130 | 0.6549 | 0.7450 |
| 0.3726 | 3.0 | 3195 | 0.7610 | 0.7473 |
| 0.1781 | 4.0 | 4260 | 1.0566 | 0.7581 |
| 0.0609 | 5.0 | 5325 | 1.3550 | 0.7609 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0