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

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t5-base-finetuned-es-to-kog

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t5-base-finetuned-es-to-kog

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

Loss: 1.9494
Bleu: 0.0638
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	2.7600	0.0412	19.0
No log	2.0	398	2.3487	0.087	19.0
3.0917	3.0	597	2.1993	0.101	19.0
3.0917	4.0	796	2.1112	0.0742	19.0
3.0917	5.0	995	2.0530	0.0471	19.0
2.3795	6.0	1194	2.0119	0.0492	19.0
2.3795	7.0	1393	1.9831	0.0507	19.0
2.2338	8.0	1592	1.9635	0.0704	19.0
2.2338	9.0	1791	1.9522	0.0666	19.0
2.2338	10.0	1990	1.9494	0.0638	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3