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bert_prof_single_v2_128_below_100_60_40
AndrewDOrlov/bert_prof_single_v2_128_below_100_60_40
bert_prof_single_v2_128_below_100_60_40 is a text classification model from AndrewDOrlov. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- 040cd153
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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_prof_single_v2_128_below_100_60_40
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6731
- Accuracy: 0.8571
- F1: 0.8541
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7825 | 1.0 | 6004 | 0.7795 | 0.8098 | 0.7965 |
| 0.6343 | 2.0 | 12008 | 0.6605 | 0.8361 | 0.8294 |
| 0.4935 | 3.0 | 18012 | 0.6383 | 0.8467 | 0.8429 |
| 0.3808 | 4.0 | 24016 | 0.6569 | 0.8540 | 0.8507 |
| 0.272 | 5.0 | 30020 | 0.6713 | 0.8562 | 0.8529 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024