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distilbert-base-multilingual-cased-sentiment
philschmid/distilbert-base-multilingual-cased-sentiment
distilbert-base-multilingual-cased-sentiment is a text classification model from philschmid. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 24, 2022
- SHA
- b45a7137
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Datasets
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 2, 2022
- Updated
- Jan 24, 2022