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finetuning-sentiment-analysis-model-team-28
a01794830/finetuning-sentiment-analysis-model-team-28
finetuning-sentiment-analysis-model-team-28 is a text classification model from a01794830. 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
- Jun 17, 2024
- Updated
- Jun 17, 2024
- SHA
- 6844d77c
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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. -->
finetuning-sentiment-analysis-model-team-28
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: 0.5211
- Accuracy: 0.7686
- F1: 0.8691
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-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.2396 | 1.0 | 88 | 0.2158 | 0.9157 | 0.9478 |
| 0.6508 | 2.0 | 176 | 0.4996 | 0.77 | 0.8698 |
| 0.5483 | 3.0 | 264 | 0.5211 | 0.7686 | 0.8691 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 17, 2024
- Updated
- Jun 17, 2024