transformers pytorch bart text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ignore_mode
  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. -->

# ignore_mode

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5796
- Rouge1: 0.2492
- Rouge2: 0.0635
- Rougel: 0.1573
- Rougelsum: 0.1574
- Gen Len: 80.4

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 2.6776          | 0.2291 | 0.0618 | 0.1425 | 0.1427    | 85.4    |
| No log        | 2.0   | 2    | 2.5796          | 0.2492 | 0.0635 | 0.1573 | 0.1574    | 80.4    |


### Framework versions

- Transformers 4.27.2
- Pytorch 2.1.1
- Datasets 2.11.0
- Tokenizers 0.13.3
