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

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t5-base-finetuned-es-to-azz

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t5-base-finetuned-es-to-azz

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

Loss: 1.8508
Bleu: 0.0946
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	2.7138	0.0093	19.0
No log	2.0	398	2.3010	0.0071	19.0
3.0507	3.0	597	2.1325	0.1019	19.0
3.0507	4.0	796	2.0305	0.1309	19.0
3.0507	5.0	995	1.9620	0.0927	19.0
2.3223	6.0	1194	1.9178	0.0773	19.0
2.3223	7.0	1393	1.8883	0.1025	19.0
2.1572	8.0	1592	1.8655	0.0928	19.0
2.1572	9.0	1791	1.8544	0.0958	19.0
2.1572	10.0	1990	1.8508	0.0946	19.0

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3