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

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

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text2text-generation

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opus-mt-en-es-finetuned-es-to-hch

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: 2.0178
Bleu: 1.9905
Gen Len: 81.1723

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	2.7890	0.3652	102.7094
No log	2.0	398	2.4674	0.972	87.7774
3.082	3.0	597	2.3066	0.9605	96.1358
3.082	4.0	796	2.2094	1.1101	85.0277
3.082	5.0	995	2.1428	1.5563	83.2981
2.3793	6.0	1194	2.0939	1.6876	85.3434
2.3793	7.0	1393	2.0595	1.5749	84.0843
2.1974	8.0	1592	2.0350	1.8507	81.7006
2.1974	9.0	1791	2.0226	2.0672	81.5421
2.1974	10.0	1990	2.0178	1.9905	81.1723

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3