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timely_bert_5
PardisSzah/timely_bert_5
timely_bert_5 is a text classification model from PardisSzah. 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
- Jul 18, 2024
- Updated
- Jul 18, 2024
- SHA
- 29bf2386
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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. -->
results
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4086
- Accuracy: 0.8531
- F1: 0.2654
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3865 | 0.9999 | 4278 | 0.3995 | 0.8571 | 0.2456 |
| 0.4134 | 2.0 | 8557 | 0.4068 | 0.8540 | 0.2894 |
| 0.408 | 2.9999 | 12835 | 0.4078 | 0.8534 | 0.2717 |
| 0.3942 | 4.0 | 17114 | 0.4090 | 0.8529 | 0.2617 |
| 0.4345 | 4.9994 | 21390 | 0.4086 | 0.8531 | 0.2654 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 18, 2024
- Updated
- Jul 18, 2024