transformers tensorboard 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: test-dialogue-summarization
  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. -->

# test-dialogue-summarization

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: 1.8387
- Rouge1: 48.1775
- Rouge2: 24.5925
- Rougel: 40.3237
- Rougelsum: 43.9647
- Gen Len: 18.4707

## 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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8408        | 1.0   | 1841  | 1.5902          | 47.4895 | 24.7763 | 40.0228 | 44.4895   | 18.5159 |
| 1.5348        | 2.0   | 3683  | 1.5498          | 48.0242 | 24.8392 | 40.559  | 44.2542   | 17.6015 |
| 1.3076        | 3.0   | 5524  | 1.5561          | 48.5695 | 25.9259 | 41.4698 | 44.6406   | 17.4658 |
| 1.1286        | 4.0   | 7366  | 1.5796          | 48.5079 | 25.1521 | 40.8084 | 44.6149   | 18.4364 |
| 0.9956        | 5.0   | 9207  | 1.6134          | 49.1351 | 25.6367 | 41.3139 | 45.0814   | 18.3313 |
| 0.8668        | 6.0   | 11049 | 1.6679          | 49.002  | 25.4589 | 41.1276 | 44.787    | 18.4853 |
| 0.7696        | 7.0   | 12890 | 1.7327          | 48.1978 | 25.0238 | 40.6671 | 44.3866   | 18.3374 |
| 0.69          | 8.0   | 14732 | 1.7603          | 48.7522 | 25.0831 | 40.8193 | 44.4452   | 18.4597 |
| 0.6175        | 9.0   | 16573 | 1.8092          | 48.2747 | 24.8563 | 40.3027 | 44.1975   | 18.3729 |
| 0.5701        | 10.0  | 18410 | 1.8387          | 48.1775 | 24.5925 | 40.3237 | 43.9647   | 18.4707 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
