| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - amazon_reviews_multi |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: distilbert-base-multilingual-cased-sentiment |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: amazon_reviews_multi |
| type: amazon_reviews_multi |
| args: all_languages |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.7648 |
| - name: F1 |
| type: f1 |
| value: 0.7648 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # distilbert-base-multilingual-cased-sentiment |
|
|
| This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the amazon_reviews_multi dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5842 |
| - Accuracy: 0.7648 |
| - F1: 0.7648 |
|
|
| ## 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: 33 |
| - distributed_type: sagemaker_data_parallel |
| - num_devices: 8 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 5 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
| | 0.6405 | 0.53 | 5000 | 0.5826 | 0.7498 | 0.7498 | |
| | 0.5698 | 1.07 | 10000 | 0.5686 | 0.7612 | 0.7612 | |
| | 0.5286 | 1.6 | 15000 | 0.5593 | 0.7636 | 0.7636 | |
| | 0.5141 | 2.13 | 20000 | 0.5842 | 0.7648 | 0.7648 | |
| | 0.4763 | 2.67 | 25000 | 0.5736 | 0.7637 | 0.7637 | |
| | 0.4549 | 3.2 | 30000 | 0.6027 | 0.7593 | 0.7593 | |
| | 0.4231 | 3.73 | 35000 | 0.6017 | 0.7552 | 0.7552 | |
| | 0.3965 | 4.27 | 40000 | 0.6489 | 0.7551 | 0.7551 | |
| | 0.3744 | 4.8 | 45000 | 0.6426 | 0.7534 | 0.7534 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.12.3 |
| - Pytorch 1.9.1 |
| - Datasets 1.15.1 |
| - Tokenizers 0.10.3 |
| |
