---
tags:
- generated_from_trainer
model-index:
- name: plbart-large-finetuned-src_fm-to-testALL
  results: []
---

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# plbart-large-finetuned-src_fm-to-testALL

This model is a fine-tuned version of [uclanlp/plbart-large](https://huggingface.co/uclanlp/plbart-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2208

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2984        | 1.0   | 9000 | 0.2208          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2