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bert-base-multilingual-uncased-sentiment-MeIA
jyarac/bert-base-multilingual-uncased-sentiment-MeIA
bert-base-multilingual-uncased-sentiment-MeIA is a text classification model from jyarac. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 29, 2023
- Updated
- Jun 29, 2023
- SHA
- dc32f5b4
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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. -->
bert-base-multilingual-uncased-sentiment-MeIA
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0751
- eval_f1: 0.5932
- eval_runtime: 74.8554
- eval_samples_per_second: 70.135
- eval_steps_per_second: 2.204
- epoch: 4.0
- step: 1532
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 29, 2023
- Updated
- Jun 29, 2023