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

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

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opus-mt-en-es-finetuned-es-to-azz

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: 2.0112
Bleu: 3.8287
Gen Len: 93.0277

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	2.8353	0.5636	134.5673
No log	2.0	398	2.4731	1.5372	110.2931
3.173	3.0	597	2.3122	2.2405	103.761
3.173	4.0	796	2.2080	2.7367	97.6428
3.173	5.0	995	2.1358	3.0156	95.995
2.3722	6.0	1194	2.0908	3.417	94.6667
2.3722	7.0	1393	2.0513	3.6661	93.2415
2.184	8.0	1592	2.0306	3.5118	93.766
2.184	9.0	1791	2.0161	4.0349	93.3233
2.184	10.0	1990	2.0112	3.8287	93.0277

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3