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

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

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text2text-generation

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opus-mt-en-es-finetuned-es-to-kog

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: 2.0199
Bleu: 1.7728
Gen Len: 92.4257

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	2.7533	0.3297	124.1411
No log	2.0	398	2.4277	0.8514	111.2292
3.0539	3.0	597	2.2794	1.2877	99.2128
3.0539	4.0	796	2.1943	1.5011	97.7683
3.0539	5.0	995	2.1241	1.5278	95.4471
2.3246	6.0	1194	2.0844	1.9169	93.6738
2.3246	7.0	1393	2.0604	1.7087	92.2065
2.1625	8.0	1592	2.0352	1.9762	93.0164
2.1625	9.0	1791	2.0239	1.9638	93.1385
2.1625	10.0	1990	2.0199	1.7728	92.4257

Framework versions

Transformers 4.28.0
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3