metadata

license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_trainer
datasets:
  - samsum
model-index:
  - name: flan-t5-base-samsum
    results: []

flan-t5-base-samsum

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

eval_loss: 1.4415
eval_rouge1: 46.722
eval_rouge2: 22.8303
eval_rougeL: 39.0315
eval_rougeLsum: 42.8427
eval_gen_len: 17.0281
eval_runtime: 128.0437
eval_samples_per_second: 6.396
eval_steps_per_second: 0.804
epoch: 0.03
step: 64

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: 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: 5

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3