t5-small-finetuned-xsum-2 – AI Model by fadhilarkan | AlphaNeural AI

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t5-small-finetuned-xsum-2

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t5-small-finetuned-xsum-2

This model is a fine-tuned version of t5-small on the squad dataset. It achieves the following results on the evaluation set:

Loss: 1.9536
Rouge1: 28.8137
Rouge2: 9.1265
Rougel: 26.0238
Rougelsum: 26.0217
Gen Len: 13.854

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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.2142	1.0	8760	1.9994	29.007	9.2583	26.2377	26.2356	13.4546
2.1372	2.0	17520	1.9622	29.1077	9.445	26.3734	26.3687	13.6995
2.0755	3.0	26280	1.9536	28.8137	9.1265	26.0238	26.0217	13.854

Framework versions

Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3