transformers safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: dialogsum_478_bart-base
  results: []
---

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# dialogsum_478_bart-base

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4035
- Rouge1: 0.4232
- Rouge2: 0.2116
- Rougel: 0.3669
- Rougelsum: 0.3672
- Gen Len: 19.862

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.3997        | 2.57  | 500  | 0.4144          | 0.4066 | 0.1878 | 0.3489 | 0.3494    | 19.898  |
| 0.2794        | 5.14  | 1000 | 0.4028          | 0.4202 | 0.2051 | 0.3656 | 0.3658    | 19.826  |
| 0.2556        | 7.7   | 1500 | 0.4035          | 0.4232 | 0.2116 | 0.3669 | 0.3672    | 19.862  |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
