README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
model-index:
  - name: flan-t5-xl-deepspeed-zero3-summary
    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: 42.6105

flan-t5-xl-deepspeed-zero3-summary

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

• Loss: 1.4054
• Rouge1: 42.6105
• Rouge2: 20.2181
• Rougel: 29.7866
• Rougelsum: 39.4431
• Gen Len: 98.0013

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: 0.0001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 10
• total_train_batch_size: 80
• total_eval_batch_size: 80
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6011	1.0	3589	1.4054	42.6105	20.2181	29.7866	39.4431	98.0013

Framework versions

• Transformers 4.26.0
• Pytorch 1.12.0
• Datasets 2.9.0
• Tokenizers 0.13.3