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---
base_model: Patcas/my_awesome-assert-new
tags:
- generated_from_trainer
model-index:
- name: plbartAssert-docnew-v1
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-docnew-v1
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: 0.9764
## 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 | 1.1573 |
| No log | 2.0 | 460 | 0.9996 |
| 1.3727 | 3.0 | 690 | 0.9757 |
| 1.3727 | 4.0 | 920 | 0.9605 |
| 0.4516 | 5.0 | 1150 | 0.9732 |
| 0.4516 | 6.0 | 1380 | 0.9845 |
| 0.2234 | 7.0 | 1610 | 0.9685 |
| 0.2234 | 8.0 | 1840 | 0.9745 |
| 0.136 | 9.0 | 2070 | 0.9773 |
| 0.136 | 10.0 | 2300 | 0.9764 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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