metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-multilingual-cased-finetuned-cases
results: []
distilbert-base-multilingual-cased-finetuned-cases
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: 3.5788
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.9523 | 1.0 | 2 | 3.0142 |
2.9405 | 2.0 | 4 | 2.8294 |
2.8121 | 3.0 | 6 | 2.8909 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.1
- Datasets 2.18.0
- Tokenizers 0.15.0