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

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t5-base-finetuned-es-to-cbv

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text2text-generation

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t5-base-finetuned-es-to-cbv

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

Loss: 1.3257
Bleu: 0.1018
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	193	1.9564	0.0086	19.0
No log	2.0	386	1.6338	0.0061	19.0
2.2915	3.0	579	1.5132	0.0644	19.0
2.2915	4.0	772	1.4475	0.0934	19.0
2.2915	5.0	965	1.4026	0.0837	19.0
1.6353	6.0	1158	1.3695	0.0936	19.0
1.6353	7.0	1351	1.3498	0.097	19.0
1.5205	8.0	1544	1.3354	0.1012	19.0
1.5205	9.0	1737	1.3288	0.0998	19.0
1.5205	10.0	1930	1.3257	0.1018	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3