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racism-finetuned-detests-prueba
Pablo94/racism-finetuned-detests-prueba
racism-finetuned-detests-prueba is a text classification model from Pablo94. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc
- Model type
- roberta
- Access
- Public
- Created
- Oct 25, 2022
- Updated
- Oct 27, 2022
- SHA
- 0538ab42
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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. -->
racism-finetuned-detests-prueba
This model is a fine-tuned version of davidmasip/racism on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3034
- F1: 0.6222
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: 50
- eval_batch_size: 50
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0001 | 1.0 | 49 | 1.0331 | 0.6667 |
| 0.0 | 2.0 | 98 | 1.2473 | 0.5992 |
| 0.0 | 3.0 | 147 | 1.2280 | 0.6227 |
| 0.0 | 4.0 | 196 | 1.2530 | 0.6245 |
| 0.0 | 5.0 | 245 | 1.2708 | 0.6222 |
| 0.0 | 6.0 | 294 | 1.2827 | 0.6222 |
| 0.0 | 7.0 | 343 | 1.2918 | 0.6222 |
| 0.0 | 8.0 | 392 | 1.2982 | 0.6222 |
| 0.0 | 9.0 | 441 | 1.3021 | 0.6222 |
| 0.0 | 10.0 | 490 | 1.3034 | 0.6222 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- cc
- Created
- Oct 25, 2022
- Updated
- Oct 27, 2022