| | --- |
| | base_model: Patcas/my_awesome-assert-new |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: plbartAssert-doc-new-v3 |
| | 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. --> |
| |
|
| | # plbartAssert-doc-new-v3 |
| |
|
| | This model is a fine-tuned version of [Patcas/my_awesome-assert-new](https://huggingface.co/Patcas/my_awesome-assert-new) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0066 |
| |
|
| | ## 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: 1 |
| | - eval_batch_size: 1 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 230 | 1.1462 | |
| | | No log | 2.0 | 460 | 0.9920 | |
| | | 1.3808 | 3.0 | 690 | 0.9736 | |
| | | 1.3808 | 4.0 | 920 | 0.9924 | |
| | | 0.4648 | 5.0 | 1150 | 0.9777 | |
| | | 0.4648 | 6.0 | 1380 | 0.9835 | |
| | | 0.2359 | 7.0 | 1610 | 0.9949 | |
| | | 0.2359 | 8.0 | 1840 | 0.9979 | |
| | | 0.1429 | 9.0 | 2070 | 1.0030 | |
| | | 0.1429 | 10.0 | 2300 | 1.0066 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.1 |
| |
|
