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distilbert-base-uncased-finetuned-items-two
chernandezc/distilbert-base-uncased-finetuned-items-two
distilbert-base-uncased-finetuned-items-two is a text classification model from chernandezc. 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
- Oct 25, 2023
- Updated
- Nov 18, 2023
- SHA
- e09f48be
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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-items-two
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8258
- Accuracy: 0.7212
- F1: 0.7198
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: 30
- eval_batch_size: 30
- 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 |
|---|---|---|---|---|---|
| 1.8573 | 1.0 | 32 | 1.6788 | 0.4135 | 0.3052 |
| 1.6314 | 2.0 | 64 | 1.4137 | 0.5385 | 0.4754 |
| 1.3618 | 3.0 | 96 | 1.2564 | 0.5577 | 0.5178 |
| 1.1231 | 4.0 | 128 | 1.0664 | 0.6538 | 0.6454 |
| 0.9382 | 5.0 | 160 | 0.9553 | 0.6923 | 0.6864 |
| 0.7879 | 6.0 | 192 | 0.8792 | 0.6923 | 0.6891 |
| 0.6616 | 7.0 | 224 | 0.8642 | 0.7019 | 0.6978 |
| 0.5844 | 8.0 | 256 | 0.8376 | 0.7115 | 0.7092 |
| 0.5289 | 9.0 | 288 | 0.8349 | 0.7115 | 0.7074 |
| 0.4673 | 10.0 | 320 | 0.8258 | 0.7212 | 0.7198 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 25, 2023
- Updated
- Nov 18, 2023