metadata

license: apache-2.0
base_model: google/flan-t5-small
tags:
  - generated_from_trainer
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:

eval_loss: nan
eval_rouge1: 10.3443
eval_rouge2: 5.3615
eval_rougeL: 8.9871
eval_rougeLsum: 9.3134
eval_gen_len: 16.1858
eval_runtime: 378.4208
eval_samples_per_second: 33.759
eval_steps_per_second: 2.111
epoch: 2.0
step: 31160

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: 5
mixed_precision_training: Native AMP

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0