metadata

license: apache-2.0
base_model: buianh0803/text-sum
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: text-sum-2
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: cnn_dailymail
          type: cnn_dailymail
          config: 3.0.0
          split: test
          args: 3.0.0
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.2485

text-sum-2

This model is a fine-tuned version of buianh0803/text-sum on the cnn_dailymail dataset. It achieves the following results on the evaluation set:

Loss: 1.6574
Rouge1: 0.2485
Rouge2: 0.1188
Rougel: 0.2056
Rougelsum: 0.2056
Gen Len: 18.9991

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.7956	1.0	17945	1.6629	0.2481	0.1182	0.2053	0.2054	18.999
1.7865	2.0	35890	1.6576	0.2479	0.1181	0.2049	0.205	18.9987
1.7697	3.0	53835	1.6574	0.2485	0.1188	0.2056	0.2056	18.9991

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1