metadata

license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: flan-t5-small-finetuned-mlsum-tr
    results: []

flan-t5-small-finetuned-mlsum-tr

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

Loss: nan
Rouge1: 9.6773
Rouge2: 4.6982
Rougel: 8.3088
Rougelsum: 8.6364
Gen Len: 15.5002

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	15580	nan	9.6773	4.6982	8.3088	8.6364	15.5002

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0