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distilbert-finetuned
Karthik-Sriram/distilbert-finetuned
distilbert-finetuned is a text classification model from Karthik-Sriram. 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
- May 29, 2024
- Updated
- May 29, 2024
- SHA
- 2b614216
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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-finetuned
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: 0.1775
- Accuracy: 0.9385
- F1: 0.9384
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 250 | 0.2451 | 0.9225 | 0.9227 |
| 0.4827 | 2.0 | 500 | 0.1655 | 0.934 | 0.9335 |
| 0.4827 | 3.0 | 750 | 0.1558 | 0.9365 | 0.9372 |
| 0.1191 | 4.0 | 1000 | 0.1482 | 0.9375 | 0.9374 |
| 0.1191 | 5.0 | 1250 | 0.1599 | 0.9365 | 0.9366 |
| 0.0775 | 6.0 | 1500 | 0.1539 | 0.9375 | 0.9378 |
| 0.0775 | 7.0 | 1750 | 0.1657 | 0.937 | 0.9366 |
| 0.0525 | 8.0 | 2000 | 0.1688 | 0.9385 | 0.9385 |
| 0.0525 | 9.0 | 2250 | 0.1811 | 0.9405 | 0.9406 |
| 0.0383 | 10.0 | 2500 | 0.1775 | 0.9385 | 0.9384 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 29, 2024
- Updated
- May 29, 2024