---
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