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distilbert-base-uncased-finetuned-emotion
juliosb/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from juliosb. 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
- Nov 11, 2024
- Updated
- Nov 22, 2024
- SHA
- 586bc387
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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. -->
distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4749
- Accuracy: 0.8333
- F1: 0.8342
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: Use OptimizerNames.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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 8 | 0.7090 | 0.4259 | 0.2544 |
| No log | 2.0 | 16 | 0.7122 | 0.4259 | 0.2544 |
| No log | 3.0 | 24 | 0.6563 | 0.5556 | 0.5052 |
| No log | 4.0 | 32 | 0.6330 | 0.5370 | 0.4777 |
| No log | 5.0 | 40 | 0.5207 | 0.7778 | 0.7778 |
| No log | 6.0 | 48 | 0.4121 | 0.8704 | 0.8707 |
| No log | 7.0 | 56 | 0.4818 | 0.7778 | 0.7778 |
| No log | 8.0 | 64 | 0.3411 | 0.9074 | 0.9076 |
| No log | 9.0 | 72 | 0.3687 | 0.8889 | 0.8894 |
| No log | 10.0 | 80 | 0.3542 | 0.9074 | 0.9076 |
| No log | 11.0 | 88 | 0.4121 | 0.8333 | 0.8342 |
| No log | 12.0 | 96 | 0.3903 | 0.8704 | 0.8710 |
| No log | 13.0 | 104 | 0.3818 | 0.8889 | 0.8894 |
| No log | 14.0 | 112 | 0.4757 | 0.8333 | 0.8342 |
| No log | 15.0 | 120 | 0.4749 | 0.8333 | 0.8342 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.3.0
- Datasets 3.0.2
- Tokenizers 0.20.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Nov 11, 2024
- Updated
- Nov 22, 2024