t5-small-failed – AI Model by Seungjun | AlphaNeural AI

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Seungjun/
t5-small-failed

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text2text-generation

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text-generation-inference

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t5-small-finetuned-t5-Thor4

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

Loss: 1.5607
Rouge1: 30.1917
Rouge2: 17.6334
Rougel: 26.8513
Rougelsum: 28.7606
Gen Len: 18.9881

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.9251	1.0	675	1.6082	29.3372	16.9607	26.1096	27.9357	18.9874
1.763	2.0	1350	1.5696	30.1869	17.5627	26.8425	28.7413	18.9881
1.7139	3.0	2025	1.5607	30.1917	17.6334	26.8513	28.7606	18.9881

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2