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finetuning-sentiment-model-3000-samples
EscVel/finetuning-sentiment-model-3000-samples
finetuning-sentiment-model-3000-samples is a text classification model from EscVel. 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
- Feb 9, 2025
- Updated
- Mar 28, 2025
- SHA
- 577e4ac2
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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-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0833
- Accuracy: 0.9706
- F1 Micro: 0.5852
- F1 Macro: 0.4403
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro |
|---|---|---|---|---|---|---|
| 0.0948 | 1.0 | 1809 | 0.0877 | 0.9693 | 0.5465 | 0.3239 |
| 0.081 | 2.0 | 3618 | 0.0837 | 0.9699 | 0.5643 | 0.4135 |
| 0.0742 | 3.0 | 5427 | 0.0835 | 0.9698 | 0.5772 | 0.4276 |
| 0.0663 | 4.0 | 7236 | 0.0851 | 0.9696 | 0.5770 | 0.4352 |
| 0.0603 | 5.0 | 9045 | 0.0864 | 0.9694 | 0.5842 | 0.4496 |
Framework versions
- Transformers 4.50.1
- Pytorch 2.6.0+cu126
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Feb 9, 2025
- Updated
- Mar 28, 2025