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bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
mfidabel/bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos
bert-base-multilingual-uncased-sentiment-finetuned-MeIA-AnalisisDeSentimientos is a text classification model from mfidabel. 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
- Apr 9, 2024
- SHA
- 7008f898
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Base models
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-finetuned-MeIA-AnalisisDeSentimientos
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:
- Loss: 0.9409
- F1: 0.5890
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9601 | 1.0 | 383 | 0.9355 | 0.5774 |
| 0.8103 | 2.0 | 766 | 0.9409 | 0.5890 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.12.1+cu116
- Datasets 2.13.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 29, 2023
- Updated
- Apr 9, 2024