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

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t5-base-finetuned-es-to-maz

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t5-base-finetuned-es-to-maz

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

Loss: 1.4284
Bleu: 0.0935
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	197	2.0266	0.0049	19.0
No log	2.0	394	1.7260	0.0161	19.0
2.3521	3.0	591	1.6107	0.0222	19.0
2.3521	4.0	788	1.5442	0.0692	19.0
2.3521	5.0	985	1.5024	0.0907	19.0
1.7566	6.0	1182	1.4730	0.0909	19.0
1.7566	7.0	1379	1.4523	0.0907	19.0
1.6434	8.0	1576	1.4394	0.0899	19.0
1.6434	9.0	1773	1.4315	0.0916	19.0
1.6434	10.0	1970	1.4284	0.0935	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3