metadata

license: apache-2.0
base_model: t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-base-Clakmann-thesis
    results: []

t5-base-Clakmann-thesis

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7647
Rouge1: 19.9179
Rouge2: 6.8159
Rougel: 18.8425
Rougelsum: 18.8407
Gen Len: 14.3685

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: 4
eval_batch_size: 4
seed: 42
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
1.8942	1.0	5029	1.7647	19.9179	6.8159	18.8425	18.8407	14.3685

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3