---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mbart-large-50-pluska-token-sum
  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. -->

# mbart-large-50-pluska-token-sum

This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2944
- Rouge1: 16.8143
- Rouge2: 5.2102
- Rougel: 14.3454
- Rougelsum: 14.7355

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| No log        | 1.0   | 144  | 3.7149          | 17.1082 | 5.3773 | 14.6384 | 14.9023   |
| No log        | 2.0   | 288  | 3.4301          | 17.6442 | 5.7235 | 14.9728 | 15.3384   |
| No log        | 3.0   | 432  | 3.4951          | 17.491  | 5.5463 | 14.8284 | 15.2035   |
| 2.9135        | 4.0   | 576  | 3.6706          | 17.1471 | 5.3419 | 14.6302 | 14.9667   |
| 2.9135        | 5.0   | 720  | 3.9122          | 16.6979 | 5.1895 | 14.2909 | 14.6367   |
| 2.9135        | 6.0   | 864  | 4.0815          | 16.5961 | 5.1915 | 14.2459 | 14.5916   |
| 2.9135        | 7.0   | 1008 | 4.2448          | 16.7793 | 5.2088 | 14.3515 | 14.7136   |
| 1.0097        | 8.0   | 1152 | 4.2944          | 16.8143 | 5.2102 | 14.3454 | 14.7355   |


### Framework versions

- Transformers 4.27.0
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2