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distilbert-base-finetuned-sentiment
lyrisha/distilbert-base-finetuned-sentiment
distilbert-base-finetuned-sentiment is a text classification model from lyrisha. 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 12, 2024
- Updated
- May 12, 2024
- SHA
- 57fe16b3
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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-base-finetuned-sentiment
This model is a fine-tuned version of lyrisha/distilbert-base-finetuned-imdb-sentiment on an imdb and GLUE SST2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3579
- Accuracy: 0.9128
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1715 | 1.0 | 2105 | 0.2463 | 0.9106 |
| 0.1114 | 2.0 | 4210 | 0.3239 | 0.9037 |
| 0.0755 | 3.0 | 6315 | 0.3579 | 0.9128 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- May 12, 2024
- Updated
- May 12, 2024