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distilbert-base-uncased-finetuned-emotions-dataset-2
agoor97/distilbert-base-uncased-finetuned-emotions-dataset-2
distilbert-base-uncased-finetuned-emotions-dataset-2 is a text classification model from agoor97. 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
- Dec 23, 2023
- Updated
- Dec 23, 2023
- SHA
- ff0a9d53
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Base models
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. -->
distilbert-base-uncased-finetuned-emotions-dataset-2
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.2689
- Accuracy: 0.937
- F1: 0.9369
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6095 | 1.0 | 500 | 0.2145 | 0.9245 | 0.9250 |
| 0.1686 | 2.0 | 1000 | 0.1670 | 0.933 | 0.9316 |
| 0.1164 | 3.0 | 1500 | 0.1631 | 0.939 | 0.9394 |
| 0.0924 | 4.0 | 2000 | 0.1829 | 0.938 | 0.9366 |
| 0.072 | 5.0 | 2500 | 0.1929 | 0.9355 | 0.9354 |
| 0.0545 | 6.0 | 3000 | 0.2117 | 0.9355 | 0.9357 |
| 0.0432 | 7.0 | 3500 | 0.2222 | 0.934 | 0.9340 |
| 0.0298 | 8.0 | 4000 | 0.2553 | 0.939 | 0.9385 |
| 0.0248 | 9.0 | 4500 | 0.2667 | 0.936 | 0.9358 |
| 0.0199 | 10.0 | 5000 | 0.2689 | 0.937 | 0.9369 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 23, 2023
- Updated
- Dec 23, 2023