README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - mlsum
metrics:
  - rouge
model-index:
  - name: mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: mlsum
          type: mlsum
          args: es
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.1582

mt5-base-finetuned-xsum-mlsum___topic_text_google_mt5_base

This model is a fine-tuned version of google/mt5-base on the mlsum dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.1582
• Rouge2: 0.0133
• Rougel: 0.1585
• Rougelsum: 0.1586
• Gen Len: 10.2326

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	66592	nan	0.1582	0.0133	0.1585	0.1586	10.2326

Framework versions

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