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imdb_sentiment_distilbert
hsinping0324/imdb_sentiment_distilbert
imdb_sentiment_distilbert is a text classification model from hsinping0324. 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
- Sep 24, 2024
- Updated
- Sep 25, 2024
- SHA
- d5b278ae
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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. -->
imdb_sentiment_distilbert
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1952
- Accuracy: 0.9272
- Precision: 0.9329
- Recall: 0.9242
- F1: 0.9285
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: 1e-06
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2944 | 1.0 | 625 | 0.2280 | 0.9144 | 0.9157 | 0.9172 | 0.9164 |
| 0.235 | 2.0 | 1250 | 0.2165 | 0.9176 | 0.9235 | 0.9148 | 0.9191 |
| 0.2188 | 3.0 | 1875 | 0.2076 | 0.9208 | 0.9184 | 0.9277 | 0.9230 |
| 0.2044 | 4.0 | 2500 | 0.2030 | 0.9222 | 0.9275 | 0.9199 | 0.9237 |
| 0.1958 | 5.0 | 3125 | 0.2003 | 0.9228 | 0.9236 | 0.9258 | 0.9247 |
| 0.1905 | 6.0 | 3750 | 0.1984 | 0.9234 | 0.9237 | 0.9269 | 0.9253 |
| 0.1833 | 7.0 | 4375 | 0.1968 | 0.9248 | 0.9333 | 0.9187 | 0.9260 |
| 0.1708 | 8.0 | 5000 | 0.1958 | 0.9264 | 0.9268 | 0.9297 | 0.9282 |
| 0.1726 | 9.0 | 5625 | 0.1959 | 0.9268 | 0.9232 | 0.9347 | 0.9289 |
| 0.1677 | 10.0 | 6250 | 0.1940 | 0.9252 | 0.9299 | 0.9234 | 0.9267 |
| 0.1677 | 11.0 | 6875 | 0.1943 | 0.9266 | 0.9238 | 0.9336 | 0.9287 |
| 0.1585 | 12.0 | 7500 | 0.1952 | 0.927 | 0.9339 | 0.9226 | 0.9282 |
| 0.1585 | 13.0 | 8125 | 0.1952 | 0.9272 | 0.9329 | 0.9242 | 0.9285 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 24, 2024
- Updated
- Sep 25, 2024