flan-t5-base-sum – AI Model by vsevolodl | AlphaNeural AI

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vsevolodl/
flan-t5-base-sum

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text2text-generation

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text-generation-inference

endpoints_compatible

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flan-t5-base

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

Loss: 1.5842
Rouge1: 40.8655
Rouge2: 18.8212
Rougel: 28.4085
Rougelsum: 37.7559
Gen Len: 103.5229

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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 512
total_eval_batch_size: 512
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	Rougelsum	Gen Len
1.9056	1.0	561	1.6271	40.3084	18.4219	27.9883	37.1807	104.5203
1.8419	2.0	1122	1.5991	40.7552	18.6806	28.3825	37.6533	100.3285
1.8091	3.0	1683	1.5842	40.8655	18.8212	28.4085	37.7559	103.5229

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2