metadata

license: apache-2.0
base_model: KETI-AIR/ke-t5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
  - sacrebleu
model-index:
  - name: ke-t5
    results: []

ke-t5

This model is a fine-tuned version of KETI-AIR/ke-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 11.9691
Rouge1: 0.0002
Rouge2: 0.0
Rougel: 0.0002
Sacrebleu: 0.0076

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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	Sacrebleu
23.1815	2.7	500	11.9691	0.0002	0.0	0.0002	0.0076

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 3.0.2
Tokenizers 0.13.2