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test_trainer
root-goksenin/test_trainer
test_trainer is a text classification model from root-goksenin. 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
- Jun 23, 2024
- Updated
- Jun 23, 2024
- SHA
- 53df292e
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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. -->
test_trainer
This model is a fine-tuned version of google-bert/bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2354
- Accuracy: 0.7179
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 8 | 0.6801 | 0.7692 |
| No log | 2.0 | 16 | 0.6242 | 0.7692 |
| No log | 3.0 | 24 | 0.6119 | 0.7692 |
| No log | 4.0 | 32 | 0.5996 | 0.7692 |
| No log | 5.0 | 40 | 0.6989 | 0.7436 |
| No log | 6.0 | 48 | 0.7500 | 0.7179 |
| No log | 7.0 | 56 | 0.7368 | 0.7179 |
| No log | 8.0 | 64 | 0.8391 | 0.7179 |
| No log | 9.0 | 72 | 0.6738 | 0.7179 |
| No log | 10.0 | 80 | 0.9335 | 0.7436 |
| No log | 11.0 | 88 | 0.8076 | 0.6667 |
| No log | 12.0 | 96 | 1.0046 | 0.7179 |
| No log | 13.0 | 104 | 0.9435 | 0.7179 |
| No log | 14.0 | 112 | 1.0031 | 0.7436 |
| No log | 15.0 | 120 | 0.9730 | 0.7179 |
| No log | 16.0 | 128 | 1.0529 | 0.7179 |
| No log | 17.0 | 136 | 1.1348 | 0.7179 |
| No log | 18.0 | 144 | 1.0693 | 0.6667 |
| No log | 19.0 | 152 | 1.1096 | 0.7179 |
| No log | 20.0 | 160 | 1.1290 | 0.7179 |
| No log | 21.0 | 168 | 1.1658 | 0.7179 |
| No log | 22.0 | 176 | 1.1801 | 0.7179 |
| No log | 23.0 | 184 | 1.2062 | 0.7179 |
| No log | 24.0 | 192 | 1.2369 | 0.7179 |
| No log | 25.0 | 200 | 1.2206 | 0.7179 |
| No log | 26.0 | 208 | 1.2214 | 0.7179 |
| No log | 27.0 | 216 | 1.2293 | 0.7179 |
| No log | 28.0 | 224 | 1.2359 | 0.7179 |
| No log | 29.0 | 232 | 1.2362 | 0.7179 |
| No log | 30.0 | 240 | 1.2354 | 0.7179 |
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
- bert
- License
- apache-2.0
- Created
- Jun 23, 2024
- Updated
- Jun 23, 2024