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mt-en-et-legal – AI Model by chiunhau | AlphaNeural AI
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chiunhau
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mt-en-et-legal
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transformers
safetensors
marian
text2text-generation
generated_from_trainer
chiunhau/mt-en-et-general
finetune
apache-2.0
endpoints_compatible
us
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mt-en-et-legal
This model is a fine-tuned version of
chiunhau/mt-en-et-general
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5435
Bleu: 17.5695
Gen Len: 52.2319
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-06
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
0.6601
1.0
380
0.5671
16.5283
52.2940
0.6243
2.0
760
0.5486
17.4779
52.2547
0.6117
3.0
1140
0.5435
17.5695
52.2319
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
