README.md

metadata

license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: t5-small-samsum-ft-experiment_2
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          config: samsum
          split: validation
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.0982

t5-small-samsum-ft-experiment_2

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

• Loss: 8.2125
• Rouge1: 0.0982
• Rouge2: 0.0087
• Rougel: 0.0982
• Rougelsum: 0.0972
• 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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	8.2709	0.0982	0.0087	0.0982	0.0972	19.0
No log	2.0	2	8.2709	0.0982	0.0087	0.0982	0.0972	19.0
No log	3.0	3	8.2125	0.0982	0.0087	0.0982	0.0972	19.0

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1