| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: BERTModified-fullsize-finetuned-wikitext-test |
| | 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. --> |
| |
|
| | # BERTModified-fullsize-finetuned-wikitext-test |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 6.7813 |
| | - Precision: 0.1094 |
| | - Recall: 0.1094 |
| | - F1: 0.1094 |
| | - Accuracy: 0.1094 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | 9.2391 | 1.0 | 4382 | 8.1610 | 0.0373 | 0.0373 | 0.0373 | 0.0373 | |
| | | 7.9147 | 2.0 | 8764 | 7.6870 | 0.0635 | 0.0635 | 0.0635 | 0.0635 | |
| | | 7.5164 | 3.0 | 13146 | 7.4388 | 0.0727 | 0.0727 | 0.0727 | 0.0727 | |
| | | 7.2439 | 4.0 | 17528 | 7.2088 | 0.0930 | 0.0930 | 0.0930 | 0.0930 | |
| | | 7.1068 | 5.0 | 21910 | 7.0455 | 0.0943 | 0.0943 | 0.0943 | 0.0943 | |
| | | 6.9711 | 6.0 | 26292 | 6.9976 | 0.1054 | 0.1054 | 0.1054 | 0.1054 | |
| | | 6.8486 | 7.0 | 30674 | 6.8850 | 0.1054 | 0.1054 | 0.1054 | 0.1054 | |
| | | 6.78 | 8.0 | 35056 | 6.7990 | 0.1153 | 0.1153 | 0.1153 | 0.1153 | |
| | | 6.73 | 9.0 | 39438 | 6.8041 | 0.1074 | 0.1074 | 0.1074 | 0.1074 | |
| | | 6.6921 | 10.0 | 43820 | 6.7412 | 0.1251 | 0.1251 | 0.1251 | 0.1251 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.24.0 |
| | - Pytorch 1.13.0 |
| | - Datasets 2.6.1 |
| | - Tokenizers 0.13.2 |
| |
|
