Shahm_-_bart-german-8bits

Quantization made by Richard Erkhov.

Github

Discord

Request more models

bart-german - bnb 8bits

• Model creator: https://huggingface.co/Shahm/
• Original model: https://huggingface.co/Shahm/bart-german/

Original model description:

license: apache-2.0 tags:

• generated_from_trainer
• summarization datasets:
• mlsum language: de metrics:
• rouge model-index:
• name: mode-bart-deutsch results:
  • task: name: Summarization type: summarization dataset: name: mlsum de type: mlsum args: de metrics:
    • name: Rouge1 type: rouge value: 41.698

---

<!-- 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. -->

mode-bart-deutsch

This model is a fine-tuned version of facebook/bart-base on the mlsum de dataset. It achieves the following results on the evaluation set:

• Loss: 1.2152
• Rouge1: 41.698
• Rouge2: 31.3548
• Rougel: 38.2817
• Rougelsum: 39.6349
• Gen Len: 63.1723

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: 6
• eval_batch_size: 6
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3