---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
base_model: facebook/bart-base
model-index:
- name: bart-base-finetuned-samsum-en
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: samsum
      type: samsum
      args: samsum
    metrics:
    - type: rouge
      value: 46.8825
      name: Rouge1
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: samsum
      type: samsum
      config: samsum
      split: test
    metrics:
    - type: rouge
      value: 45.0692
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmJmZGIzMjdlODZhOThjMTFhYzM3NWJjOTNjMjkyN2U4NmE2YjViZmM0ZTBkNTU0NTc0YmZlMGY4NDI1NmM0YyIsInZlcnNpb24iOjF9.4p6xyMhFMia_Ms0bohyUchjrHhYvz7tH_O9LdeEK5FYF6pWEWs3Aw3i6LCc2HPnsge2ZKG-pzsRdbMJwO5w4Bg
    - type: rouge
      value: 20.9049
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTY3OTVmM2E5ZmRjYzYzZmE3MGQwODNmMTk0MGJjMTRkMDQ2NGEwNGY0ZTA3OWJjODIzOWVkYTgwZjRjNzhkYiIsInZlcnNpb24iOjF9.YKFCR8fT38vuj9TA9wZHUNX6hmV0_m4yErKuuVvEBtWSwOmrzIrdSHVk40wSQomojTFFA9HRAZ_Ssf0rke_SAw
    - type: rouge
      value: 37.3128
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDZhN2I5NDdjNTEwYzg2YTZlMWJkZDFmYmE0NDkzYmI4Mjg2YjVkYTQwMmEyMTEzZmI4YzBmMDg3OWY5MDQ0MiIsInZlcnNpb24iOjF9.RFrkndxIOt61Vs59zCdI09IXh349inPilhD-bXvpqfUKa92PTUNBqsumL8lzS4N7uEcfca1QYG4STEy_Efc9Dw
    - type: rouge
      value: 40.662
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGIxMjlkZjY3ZDNiOGQwM2FlNTExYjI5OGIwOGUxYTU4ZGFiNGRjOTU5MTFjMDQ2YWU2MzU3M2E0NTQ3Yjk4MiIsInZlcnNpb24iOjF9.AEJgh8jnUs0nyIsUj6mNxyqIzfFRVwqEowIMnK-xnSRbuMkCMEREeao4FSK2a0Cx5rNkXuEW4fBIRDrhyDKIBA
    - type: loss
      value: 5.763935565948486
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzc2Yzc5YjRjOGFjZmIwYTFiYzNiN2VmNzJiNjdlZmRhNjZlNzU4ZDc1OWE2MTk1MjQ5MGM0NDNmMDY3NTZmYiIsInZlcnNpb24iOjF9.r-Z0kcXf81IlDxT0yYoLjya7Uc3q6sJT0LxzhIdKVYc3mOoxPLMX1_vLQPX8fsIHIqPHPtKczfZ_z6mB0yptBg
    - type: gen_len
      value: 18.4921
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2NkYTg0MGFiYmJiZWI1ZjYzMGEzOGM1MGM2NjgyNzE2MTk2ZTc3MTQ2Mzg4Y2U5NTM3MDBiNTQ5YzUwNzAzYyIsInZlcnNpb24iOjF9.fn2kkheKjJJio6pcI0X0OWMEE08CuO35VrebfTNqTGJDV3U5O2f6Vf6RMo0d5b4N5X-E5-Ju-7k2CDxNi8CAAw
---

<!-- 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. -->

# bart-base-finetuned-samsum-en

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3676
- Rouge1: 46.8825
- Rouge2: 22.0923
- Rougel: 39.7249
- Rougelsum: 42.9187

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.5172        | 1.0   | 300  | 2.1613          | 47.4152 | 22.8106 | 39.93   | 43.3639   |
| 0.3627        | 2.0   | 600  | 2.2771          | 47.2676 | 22.6325 | 40.1345 | 43.19     |
| 0.2466        | 3.0   | 900  | 2.3676          | 46.8825 | 22.0923 | 39.7249 | 42.9187   |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1