| --- |
| license: apache-2.0 |
| base_model: distilbert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: aift-model |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # aift-model |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.1789 |
| - Accuracy Thresh: 0.9161 |
|
|
| ## 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: 25 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh | |
| |:-------------:|:-----:|:----:|:---------------:|:---------------:| |
| | No log | 1.0 | 129 | 2.3568 | 0.3224 | |
| | No log | 2.0 | 258 | 1.6533 | 0.5518 | |
| | No log | 3.0 | 387 | 1.3939 | 0.7174 | |
| | 2.7357 | 4.0 | 516 | 1.3937 | 0.7875 | |
| | 2.7357 | 5.0 | 645 | 1.3416 | 0.8023 | |
| | 2.7357 | 6.0 | 774 | 1.3744 | 0.8696 | |
| | 2.7357 | 7.0 | 903 | 1.4840 | 0.8753 | |
| | 0.727 | 8.0 | 1032 | 1.6799 | 0.8858 | |
| | 0.727 | 9.0 | 1161 | 1.6802 | 0.8830 | |
| | 0.727 | 10.0 | 1290 | 1.8544 | 0.8968 | |
| | 0.727 | 11.0 | 1419 | 1.8931 | 0.8971 | |
| | 0.4047 | 12.0 | 1548 | 2.1624 | 0.8978 | |
| | 0.4047 | 13.0 | 1677 | 2.3448 | 0.9042 | |
| | 0.4047 | 14.0 | 1806 | 2.4661 | 0.9087 | |
| | 0.4047 | 15.0 | 1935 | 2.5098 | 0.9087 | |
| | 0.2396 | 16.0 | 2064 | 2.7352 | 0.9130 | |
| | 0.2396 | 17.0 | 2193 | 2.7756 | 0.9123 | |
| | 0.2396 | 18.0 | 2322 | 2.9367 | 0.9151 | |
| | 0.2396 | 19.0 | 2451 | 2.9757 | 0.9140 | |
| | 0.1658 | 20.0 | 2580 | 2.9550 | 0.9140 | |
| | 0.1658 | 21.0 | 2709 | 3.0914 | 0.9161 | |
| | 0.1658 | 22.0 | 2838 | 3.1505 | 0.9158 | |
| | 0.1658 | 23.0 | 2967 | 3.0856 | 0.9147 | |
| | 0.1233 | 24.0 | 3096 | 3.1968 | 0.9175 | |
| | 0.1233 | 25.0 | 3225 | 3.1789 | 0.9161 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.38.0.dev0 |
| - Pytorch 2.2.0+cu121 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
|
|
