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roberta-base-go_emotions
Luasmontesinos/roberta-base-go_emotions
roberta-base-go_emotions is a text classification model from Luasmontesinos. 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
- roberta
- Access
- Public
- Created
- Dec 23, 2024
- Updated
- Dec 23, 2024
- SHA
- d6984551
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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. -->
roberta-base-go_emotions
This model is a fine-tuned version of SamLowe/roberta-base-go_emotions on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4579
- Accuracy: 0.4894
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 1.7413 | 0.3404 |
| No log | 2.0 | 46 | 1.6440 | 0.3830 |
| No log | 3.0 | 69 | 1.5240 | 0.4894 |
| No log | 4.0 | 92 | 1.4579 | 0.4894 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 23, 2024
- Updated
- Dec 23, 2024