mt-en-et-general – AI Model by chiunhau | AlphaNeural AI

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chiunhau/
mt-en-et-general

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-en-mul

endpoints_compatible

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mt-en-et-general

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

Loss: 0.3172
Bleu: 26.2681
Gen Len: 24.626

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: 128
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.4413	1.0	3236	0.3460	24.6904	24.7215
0.3559	2.0	6472	0.3294	25.1249	24.573
0.3342	3.0	9708	0.3219	25.9375	24.599
0.3223	4.0	12944	0.3184	26.0347	24.629
0.316	5.0	16180	0.3172	26.2681	24.626

Framework versions

Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2