t5-base-finetuned-es-to-sja – AI Model by mekjr1 | AlphaNeural AI

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t5-base-finetuned-es-to-sja

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text2text-generation

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t5-base-finetuned-es-to-sja

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

Loss: 1.5730
Bleu: 0.089
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	199	2.1692	0.0253	19.0
No log	2.0	398	1.8872	0.0533	19.0
2.4927	3.0	597	1.7759	0.0723	19.0
2.4927	4.0	796	1.7032	0.0652	18.9924
2.4927	5.0	995	1.6562	0.0899	19.0
1.9132	6.0	1194	1.6232	0.0856	19.0
1.9132	7.0	1393	1.6005	0.0823	19.0
1.793	8.0	1592	1.5853	0.0876	19.0
1.793	9.0	1791	1.5758	0.087	19.0
1.793	10.0	1990	1.5730	0.089	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3