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

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

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text2text-generation

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opus-mt-en-es-finetuned-es-to-ngu

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: 1.8826
Bleu: 5.6695
Gen Len: 78.319

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	2.6657	1.353	116.2686
No log	2.0	398	2.3408	1.6397	99.3127
2.97	3.0	597	2.1759	2.3741	100.1248
2.97	4.0	796	2.0744	3.4996	88.343
2.97	5.0	995	2.0044	4.3822	81.2623
2.209	6.0	1194	1.9554	4.9553	80.5813
2.209	7.0	1393	1.9217	5.3635	81.3291
2.0188	8.0	1592	1.8985	5.542	81.1929
2.0188	9.0	1791	1.8875	5.579	78.744
2.0188	10.0	1990	1.8826	5.6695	78.319

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3