---
base_model: Patcas/plbart-works
tags:
- generated_from_trainer
model-index:
- name: my_awesome-assert-new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# my_awesome-assert-new

This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4168

## 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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4144        | 1.0   | 15052 | 0.4181          |
| 0.3772        | 2.0   | 30104 | 0.3961          |
| 0.358         | 3.0   | 45156 | 0.4086          |
| 0.3221        | 4.0   | 60208 | 0.4168          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1