README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - NLP-MINI-PROJECT/rabbi_kook
metrics:
  - rouge
model-index:
  - name: mt_5_small_kook_gen_len_20
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: NLP-MINI-PROJECT/rabbi_kook
          type: NLP-MINI-PROJECT/rabbi_kook
        metrics:
          - name: Rouge1
            type: rouge
            value: 0

mt_5_small_kook_gen_len_20

This model is a fine-tuned version of google/mt5-small on the NLP-MINI-PROJECT/rabbi_kook dataset. It achieves the following results on the evaluation set:

• Loss: 2.7678
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 47.7155

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: 2
• eval_batch_size: 2
• 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 4.27.0.dev0
• Pytorch 1.8.1+cu111
• Datasets 2.9.0
• Tokenizers 0.11.0