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bert_sentiment_trainer
Artanis1551/bert_sentiment_trainer
bert_sentiment_trainer is a text classification model from Artanis1551. 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
- bert
- Access
- Public
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023
- SHA
- 55a08e46
Try a prompt
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. -->
bert_sentiment_trainer
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7044
- Accuracy: 0.8857
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: 2.754984679344267e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4787 | 0.32 | 250 | 0.4447 | 0.8338 |
| 0.374 | 0.64 | 500 | 0.3835 | 0.8613 |
| 0.3681 | 0.96 | 750 | 0.3533 | 0.8696 |
| 0.2456 | 1.28 | 1000 | 0.4425 | 0.8706 |
| 0.2092 | 1.6 | 1250 | 0.4393 | 0.8684 |
| 0.2827 | 1.92 | 1500 | 0.3814 | 0.8812 |
| 0.1424 | 2.24 | 1750 | 0.5589 | 0.8751 |
| 0.1791 | 2.56 | 2000 | 0.5869 | 0.8818 |
| 0.1297 | 2.88 | 2250 | 0.5741 | 0.8744 |
| 0.0474 | 3.21 | 2500 | 0.6328 | 0.8834 |
| 0.08 | 3.53 | 2750 | 0.7015 | 0.8748 |
| 0.088 | 3.85 | 3000 | 0.7044 | 0.8857 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 26, 2023
- Updated
- Dec 28, 2023