t5-small-indosum-2 – AI Model by mrizalf7 | AlphaNeural AI

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t5-small-indosum-2

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t5-small-indosum-2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3772
Rouge1: 15.3275
Rouge2: 11.9241
Rougel: 15.0748
Rougelsum: 15.1979
Gen Len: 19.0

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
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
0.4206	1.0	2230	0.3852	15.3515	11.9406	15.1018	15.2234	19.0
0.4058	2.0	4460	0.3783	15.3331	11.9321	15.0835	15.2069	19.0
0.3977	3.0	6690	0.3772	15.3275	11.9241	15.0748	15.1979	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3