---
tags:
- generated_from_trainer
model-index:
- name: plbart-base-finetuned-src_fm_fc_ms_ff-to-test
  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. -->

# plbart-base-finetuned-src_fm_fc_ms_ff-to-test

This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2093

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3796        | 1.0   | 1125 | 0.2741          |
| 0.2482        | 2.0   | 2250 | 0.2372          |
| 0.2077        | 3.0   | 3375 | 0.2200          |
| 0.1841        | 4.0   | 4500 | 0.2121          |
| 0.1704        | 5.0   | 5625 | 0.2093          |


### Framework versions

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