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finetuning-sentiment-model-distilbert-base-25000-samples
choidf/finetuning-sentiment-model-distilbert-base-25000-samples
finetuning-sentiment-model-distilbert-base-25000-samples is a text classification model from choidf. 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
- Oct 25, 2023
- SHA
- 829f9752
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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. -->
finetuning-sentiment-model-distilbert-base-25000-samples
This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3791
- Accuracy: 0.926
- F1: 0.9274
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2724 | 1.0 | 1407 | 0.2207 | 0.9192 | 0.9209 |
| 0.1629 | 2.0 | 2814 | 0.2558 | 0.9192 | 0.9195 |
| 0.0947 | 3.0 | 4221 | 0.3342 | 0.9248 | 0.9267 |
| 0.0542 | 4.0 | 5628 | 0.3523 | 0.926 | 0.9278 |
| 0.0325 | 5.0 | 7035 | 0.3791 | 0.926 | 0.9274 |
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
- Oct 25, 2023