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finetuning-sentiment-model-bert-multilingual
coderSounak/finetuning-sentiment-model-bert-multilingual
finetuning-sentiment-model-bert-multilingual is a text classification model from coderSounak. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-nc-3.0
- Model type
- bert
- Access
- Public
- Created
- Nov 12, 2022
- Updated
- Nov 12, 2022
- SHA
- a32a4713
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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. -->
finetuning-sentiment-model-bert-multilingual
This model is a fine-tuned version of QCRI/bert-base-multilingual-cased-pos-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9412
- Accuracy: 0.6624
- F1: 0.6624
- Precision: 0.6624
- Recall: 0.6624
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: 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: 10
Training results
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-nc-3.0
- Created
- Nov 12, 2022
- Updated
- Nov 12, 2022