README.md

metadata

license: apache-2.0
base_model: google/t5-v1_1-base
tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: samsum_42
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: samsum
          type: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 0

samsum_42

This model is a fine-tuned version of google/t5-v1_1-base on the samsum dataset. It achieves the following results on the evaluation set:

• Loss: 89.9987
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 127.0
• Test Rougel: 0.0
• Df Rougel: 0.0
• Unlearn Overall Rougel: 0.5
• Unlearn Time: 7305.7426

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: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Overall Rougel	Unlearn Overall Rougel	Time
No log	0.5	432	76.7971	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
No log	1.0	864	82.2092	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	1.5	1296	84.4833	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	2.0	1728	86.3303	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	2.49	2160	87.3194	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	2.99	2592	88.3272	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	3.49	3024	89.1249	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	3.99	3456	89.5903	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	4.49	3888	89.8958	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1
0.0	4.99	4320	89.9988	0.0	0.0	0.0	0.0	127.0	0.5	0.5	-1

Framework versions

• Transformers 4.39.3
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2