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finetuning-emotion-model
VirSingh/finetuning-emotion-model
finetuning-emotion-model is a text classification model from VirSingh. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Apr 29, 2023
- Updated
- May 11, 2023
- SHA
- b1e0127a
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Datasets
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. -->
finetuning-emotion-model
This model is a fine-tuned version of distilbert-base-uncased and clip-vit-base-patch32 on the emotion dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
##Labels 0 - sadness 1 - joy 2 - love 3 - anger 4 - fear 5 - surprise
Training procedure
##Training Results Epoch Training Loss Validation Loss Accuracy F1 1 No log 0.210356 0.927500 0.927196 2 0.230100 0.207957 0.930500 0.930676
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
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
- distilbert
- License
- apache-2.0
- Created
- Apr 29, 2023
- Updated
- May 11, 2023