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sentiment-emotions
agnesemi/sentiment-emotions
sentiment-emotions is a text classification model from agnesemi. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 6, 2023
- Updated
- May 6, 2023
- SHA
- 202317e5
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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. -->
sentiment-emotions
This model is a fine-tuned version of j-hartmann/emotion-english-distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0709
- Accuracy: 0.7855
- F1: 0.7855
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: 3e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 207 | 0.7734 | 0.7855 | 0.7855 |
| No log | 2.0 | 414 | 1.2495 | 0.7506 | 0.7506 |
| 0.1096 | 3.0 | 621 | 1.0536 | 0.7843 | 0.7843 |
| 0.1096 | 4.0 | 828 | 1.0709 | 0.7855 | 0.7855 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 6, 2023
- Updated
- May 6, 2023