opus-mt-en-es-finetuned-es-to-cbv – AI Model by mekjr1 | AlphaNeural AI

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mekjr1/
opus-mt-en-es-finetuned-es-to-cbv

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text2text-generation

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opus-mt-en-es-finetuned-es-to-cbv

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-es on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3555
Bleu: 5.8553
Gen Len: 92.0545

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	2.0269	1.4628	93.9455
No log	2.0	386	1.7009	4.5076	93.0467
2.4078	3.0	579	1.5666	4.967	89.3217
2.4078	4.0	772	1.4872	5.194	92.6187
2.4078	5.0	965	1.4434	5.2623	93.0921
1.5878	6.0	1158	1.4052	5.5164	90.6628
1.5878	7.0	1351	1.3840	5.5944	92.4981
1.4571	8.0	1544	1.3652	5.692	93.1647
1.4571	9.0	1737	1.3580	5.6759	90.978
1.4571	10.0	1930	1.3555	5.8553	92.0545

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3