DSMLfinalproject_t5 – AI Model by Lemoneggroll | AlphaNeural AI

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Lemoneggroll/
DSMLfinalproject_t5

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text2text-generation

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text-generation-inference

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DSMLfinalproject_t5

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

Loss: 2.4904
Rouge1: 0.216
Rouge2: 0.04
Rougel: 0.1556
Rougelsum: 0.1558
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	100	2.5427	0.2013	0.0387	0.1535	0.1537	19.0
No log	2.0	200	2.5038	0.2152	0.0397	0.1572	0.1575	19.0
No log	3.0	300	2.4940	0.2127	0.0394	0.1567	0.157	19.0
No log	4.0	400	2.4904	0.216	0.04	0.1556	0.1558	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3