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roberta-base-finetuned-emotion-finetuned-emotion-aug
kapliff89/roberta-base-finetuned-emotion-finetuned-emotion-aug
roberta-base-finetuned-emotion-finetuned-emotion-aug is a text classification model from kapliff89. 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 12, 2024
- Updated
- May 12, 2024
- SHA
- 3dab25cb
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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-finetuned-emotion-finetuned-emotion-aug
This model is a fine-tuned version of kapliff89/roberta-base-finetuned-emotion on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5222
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: 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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2087 | 1.0 | 19 | 0.2681 |
| 0.1729 | 2.0 | 38 | 0.4187 |
| 0.074 | 3.0 | 57 | 0.5222 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 12, 2024
- Updated
- May 12, 2024