README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - pn_summary
metrics:
  - rouge
model-index:
  - name: my_awesome_pn_summary_model
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: pn_summary
          type: pn_summary
          config: 1.0.0
          split: train
          args: 1.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 0

my_awesome_pn_summary_model

This model is a fine-tuned version of t5-small on the pn_summary dataset. It achieves the following results on the evaluation set:

• Loss: 0.1125
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 19.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1169	1.0	5127	0.1130	0.0	0.0	0.0	0.0	19.0
0.115	2.0	10254	0.1125	0.0	0.0	0.0	0.0	19.0

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2