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distilbert_finetuned
varadsrivastava/distilbert_finetuned
distilbert_finetuned is a text classification model from varadsrivastava. 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 21, 2024
- Updated
- May 21, 2024
- SHA
- 407d82d0
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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_finetuned
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5219
- Accuracy: 0.7358
- F1: 0.7562
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: 9.426559053989038e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 10
- 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 | 122 | 0.5219 | 0.7358 | 0.7562 |
| No log | 2.0 | 244 | 0.5235 | 0.7513 | 0.7400 |
| No log | 3.0 | 366 | 0.7853 | 0.7193 | 0.6691 |
| No log | 4.0 | 488 | 0.9671 | 0.7245 | 0.7030 |
| 0.332 | 5.0 | 610 | 1.1997 | 0.7172 | 0.7128 |
| 0.332 | 6.0 | 732 | 1.3708 | 0.7245 | 0.7245 |
| 0.332 | 7.0 | 854 | 1.5733 | 0.7234 | 0.7118 |
| 0.332 | 8.0 | 976 | 1.7145 | 0.7245 | 0.7056 |
| 0.0365 | 9.0 | 1098 | 1.7506 | 0.7307 | 0.7172 |
| 0.0365 | 10.0 | 1220 | 1.8002 | 0.7245 | 0.7107 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 21, 2024
- Updated
- May 21, 2024