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bert-file-classifier-v1
Lesllie/bert-file-classifier-v1
bert-file-classifier-v1 is a machine learning model from Lesllie. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024
- SHA
- c52064a2
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-file-classifier-v1
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5040
- Accuracy: 0.8621
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 73 | 2.9232 | 0.2379 |
| No log | 2.0 | 146 | 2.3616 | 0.4103 |
| No log | 3.0 | 219 | 1.9274 | 0.5724 |
| No log | 4.0 | 292 | 1.6500 | 0.6793 |
| No log | 5.0 | 365 | 1.3585 | 0.7172 |
| No log | 6.0 | 438 | 1.1529 | 0.7448 |
| 1.8175 | 7.0 | 511 | 0.9884 | 0.7690 |
| 1.8175 | 8.0 | 584 | 0.8728 | 0.7966 |
| 1.8175 | 9.0 | 657 | 0.7990 | 0.7966 |
| 1.8175 | 10.0 | 730 | 0.7191 | 0.8379 |
| 1.8175 | 11.0 | 803 | 0.7060 | 0.8069 |
| 1.8175 | 12.0 | 876 | 0.6388 | 0.8207 |
| 1.8175 | 13.0 | 949 | 0.6215 | 0.8241 |
| 0.4201 | 14.0 | 1022 | 0.6104 | 0.8310 |
| 0.4201 | 15.0 | 1095 | 0.5726 | 0.8414 |
| 0.4201 | 16.0 | 1168 | 0.6273 | 0.8138 |
| 0.4201 | 17.0 | 1241 | 0.4878 | 0.8655 |
| 0.4201 | 18.0 | 1314 | 0.5040 | 0.8586 |
| 0.4201 | 19.0 | 1387 | 0.4873 | 0.8655 |
| 0.4201 | 20.0 | 1460 | 0.5066 | 0.8655 |
| 0.1063 | 21.0 | 1533 | 0.5139 | 0.8690 |
| 0.1063 | 22.0 | 1606 | 0.5060 | 0.8655 |
| 0.1063 | 23.0 | 1679 | 0.4933 | 0.8690 |
| 0.1063 | 24.0 | 1752 | 0.5140 | 0.8690 |
| 0.1063 | 25.0 | 1825 | 0.5040 | 0.8621 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024