README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - summarization
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-base-finetuned_dialougesum_version_4.0
    results: []

flan-t5-base-finetuned_dialougesum_version_4.0

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 43.2937
• Rouge1: 0.2289
• Rouge2: 0.0617
• Rougel: 0.195
• Rougelsum: 0.1954

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-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
44.1374	1.0	1558	43.2937	0.2289	0.0617	0.195	0.1954

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3