---
license: apache-2.0
tags:
- generated_from_trainer
- summarization
base_model: facebook/bart-base
model-index:
- name: bart-base-xsum
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: xsum
      type: xsum
      config: default
      split: test
    metrics:
    - type: rouge
      value: 38.643
      name: ROUGE-1
      verified: true
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    - type: rouge
      value: 17.7546
      name: ROUGE-2
      verified: true
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    - type: rouge
      value: 32.2114
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWZhN2YxZTI5NGQ1MzRiYTEzZmI4YTRmYzY5NTMxYWVjZTRhODFjZTJlN2VkZWRkNzllOTE5ZTA5OTY2OGNiYiIsInZlcnNpb24iOjF9.hs2yl3ArmJuDo_N87MUWqcJ034sCjD8borR4kE_D91z0aL3NilFdpDk2iuyynE9pCn4JttetiGRLngpMvKekDw
    - type: rouge
      value: 32.2207
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWJkMTdmYmJlMGY3ZDg0ZGU4NTk3ZDRiMTg2ODUxZjU3ODJiMGNmZGZiOGFmNDhhZmRkMTE5MTM1YTMwNDI3NiIsInZlcnNpb24iOjF9.nTXRauPJTCmm1Ed4mp4LyIaWKd0OXhK94OAZEnIpN549pMZ19ufrNTuBeXQj6vLQAsaugbrPotBXBPe-Pbp3Dg
    - type: loss
      value: 1.8224396705627441
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDlhYTY5MzFkOGRlNGFjOGZiYzUyYmQ3ZWViNmY2ODZiYzhjNzYyYWZlN2ViZTJiZWEyMDFlYjE0YmIyODY2YyIsInZlcnNpb24iOjF9.96OPA94rxBtQpSiEEk7hBffOa30pe1TslYE9cpZiiwQb7GOCNGeUqjxWmzE0-R1_QluMN527k0dFL1G2KWQwAA
    - type: gen_len
      value: 19.7028
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzU1Njc2YmYxZGM4NjA3ZTMxZmY2YjBmNjhiZmE5YzA5Y2U2NDNjZDM0MWNjZjAwYjYxZWVmNDZjMDc5MGM2YyIsInZlcnNpb24iOjF9.j7cYnDB8LQ_stl35EaHKKJhqavj9mHVroOkzuk88rV8eRWhpksKg-n1FfbXERhxKIUBrQIWszyMUlEvAV5beBQ
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: xsum
      type: xsum
      config: default
      split: validation
    metrics:
    - type: rouge
      value: 38.7415
      name: ROUGE-1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjdhZTc4MGUyODM3ZDBjNmVhODRlNDMzNWJmYmNlM2NmZTEwNzc3ZDYwYjllMzc4ZWE4N2FlNWQwNDhjNGZlMiIsInZlcnNpb24iOjF9.a3dZeqsFupDVZOoSrw3FRC7ysZ04930QQKNLLyJkmoSbh6p9J1IVa5Xih3RTmQbYAN2XczTSbpQS7RqpOGE3Dg
    - type: rouge
      value: 17.8295
      name: ROUGE-2
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTRmN2ZjMDM3NDgwYzVlODcwNmYwZjVlODcxMGE4ZDU5MDQ2ZDdjMjEzZWE2NmNiYzRiZGZmMzkzN2EzZThlYSIsInZlcnNpb24iOjF9.3E8u6Ia8_ri_qcNjshPFEPEyED3cK1dNJr027fdjn0_DjY7PDsnP6pmeNv4YJJSTWTX_itiX69zcdWK5m4WPCQ
    - type: rouge
      value: 32.2861
      name: ROUGE-L
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzllOGNkYWI4MTdiZDc4MjgxZGUzNWZlYzkyNjlhNTQ3Y2JlMmE0NGZiNGRlMGMxNDkxZWViNjk2OTFmNmJiYyIsInZlcnNpb24iOjF9.cqrqGe65cej66-c3JjQebMx3kiM1nGOVMpN0ZbqnCRFoMdqqCIVG3ZjP-LJY3MptXRqk_sWY_O5kMximu5sgCg
    - type: rouge
      value: 32.2763
      name: ROUGE-LSUM
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGNkZWQzMzcwY2YyYjE3OWM1ZmJiMTExYmViNTU2NjExZDdmMTQ4OGZkOGZiYjk1OWQ0YTY5YjU5NTI0YjQwNiIsInZlcnNpb24iOjF9.pLFILxKJ33wPSDByZz-IQv_ujRzypMeblgc3C7_3eO5egte0_hTnjl4u-m8KLGYy7mfVXFHZPpvihwlShrARDg
    - type: loss
      value: 1.8132821321487427
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmRhM2UxMWRhNjk0NmIxODQyNjEyNmEwMzYyYTc3NGZlN2RlNWYyZjE1M2NlNDQyOTM1ZGU2MDQ1OWY1OTYyYyIsInZlcnNpb24iOjF9.ZTCMjc6AwjXjO7mHiVPCSyYX1eAPX5IDbWSckWIQpH7O9qk8Sm4WXST-q26Mtf4WOkn2u26Lf171ATBH5GyCCg
    - type: gen_len
      value: 19.7116
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2JjMzcxZTI0MDQ4ZDk3YTVhYTZjYmRiYmM5MWUwNDM0MjFkOWZiYTNlMWQ1NzA3MDMyNTI5MjY4OGY5ZGYwYiIsInZlcnNpb24iOjF9.JJ41buqEz-r4GSHAAB31_gofuzjEm0fgui9ovJJbJZLTcooGHAbYMBuDAZM8ojwFEu6S2VTR0fJE60OCs278Cg
---

<!-- 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-xsum

**Training:** The model has been trained using the script provided in the following repository https://github.com/MorenoLaQuatra/transformers-tasks-templates

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on [xsum](https://huggingface.co./datasets/xsum) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8051
- R1: 0.5643
- R2: 0.3017
- Rl: 0.5427
- Rlsum: 0.5427

## 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: 32
- eval_batch_size: 32
- seed: 42
- 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 | R1     | R2     | Rl     | Rlsum  |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.8983        | 1.0   | 6377  | 0.8145          | 0.5443 | 0.2724 | 0.5212 | 0.5211 |
| 0.8211        | 2.0   | 12754 | 0.7940          | 0.5519 | 0.2831 | 0.5295 | 0.5295 |
| 0.7701        | 3.0   | 19131 | 0.7839          | 0.5569 | 0.2896 | 0.5347 | 0.5348 |
| 0.7046        | 4.0   | 25508 | 0.7792          | 0.5615 | 0.2956 | 0.5394 | 0.5393 |
| 0.6837        | 5.0   | 31885 | 0.7806          | 0.5631 | 0.2993 | 0.5416 | 0.5416 |
| 0.6412        | 6.0   | 38262 | 0.7816          | 0.5643 | 0.301  | 0.5427 | 0.5426 |
| 0.6113        | 7.0   | 44639 | 0.7881          | 0.5645 | 0.3017 | 0.5428 | 0.5428 |
| 0.5855        | 8.0   | 51016 | 0.7921          | 0.5651 | 0.303  | 0.5433 | 0.5432 |
| 0.5636        | 9.0   | 57393 | 0.7972          | 0.5649 | 0.3032 | 0.5433 | 0.5433 |
| 0.5482        | 10.0  | 63770 | 0.7996          | 0.565  | 0.3036 | 0.5436 | 0.5435 |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.11.0+cu113
- Datasets 2.0.0
- Tokenizers 0.11.6