t5-small-finetuned-webnlg-mt-2.0e-04 – AI Model by vente | AlphaNeural AI

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t5-small-finetuned-webnlg-mt-2.0e-04

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text2text-generation

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text-generation-inference

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t5-small-finetuned-webnlg-mt-2.0e-04

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

Gen Len: 43.5977
Loss: 0.3487
Rouge1: 0.8216
Rouge2: 0.6463
Rougel: 0.7033
Rougelsum: 0.7274

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: 0.0002
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Gen Len	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.604	1.4	1500	43.3072	0.4256	0.7894	0.6008	0.6683	0.6931
0.4922	2.79	3000	43.8020	0.3684	0.8144	0.6352	0.6928	0.7170
0.4474	4.19	4500	43.5977	0.3487	0.8216	0.6463	0.7033	0.7274

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3